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["Make a new Query \n \n"]
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[]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Data pull from Questionnaire"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,1,1,1,1]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Criteria block for advanced filter",null,null,null,null,null,null,null,null,null,null,"Actual for filter",null,null,null,null,null,null,null,null,null,"Actual for filter",null,null,null,null,null,null,null,null,null,"Actual for filter",null,null,null,null,null,null,null,null,"Actual for filter"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Number","Identification of entities and links","Description of entities","Description of links between entities","Name","Category ","Description","Source",null,null,null,"Number","Identification of entities and links","Description of entities","Description of links between entities","Name","Category ","Description","Source",null,null,"Number","Identification of entities and links","Description of entities","Description of links between entities","Name","Category ","Description","Source",null,null,"Number","Identification of entities and links","Description of entities","Description of links between entities","Name","Category ","Description","Source",null,"Number","Identification of entities and links","Description of entities","Description of links between entities","Name","Category ","Description","Source"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(AL16=\"\",\">0\",\">=\" &AL16)","v":">0"},null,null,{"$f":"IF(AO16=\"\",\"*\",AO16)","v":"Prioritisation; Delivery"},null,null,null,null,null,null,null,null,{"$f":"IF(AO13=1,\"AGV Load-Selection\",\"\")","v":"AGV Load-Selection"},{"$f":"IF(AP13=1,\"AGV and other AGV; set of AGV mapped to itself\",\"\")","v":"AGV and other AGV; set of AGV mapped to itself"},{"$f":"_xlfn.IFS(AM13=1,\"Prioritisation; Delivery\",AM13=2,\"Prioritisation; Pickup\",AM13=3,\"Prioritisation; Delivery\")","v":"Prioritisation; Delivery"},null,{"$f":"IF(AN13=1,\"Traffic Regulation\",\"\")","v":"Traffic Regulation"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(BJ13=1,\"AGV and other AGV; set of AGV mapped to itself\",\"\")","v":""},null,null,{"$f":"IF(BI13=1,\"Load-Selection\",\"\")","v":""},null,null,null,null,null,{"$f":"IF(BS13=1,\"AGV and other AGV; set of AGV mapped to itself\",\"\")","v":""},null,null,{"$f":"IF(BR13=1,\"Load-Selection\",\"\")","v":""}]
[null,"What type of jobs will the AGV be expected to perform?",null,null,null,null,null,"Name",null,"Description",null,null,null,null,null,null,"Rule No",null,null,"Category",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Number","Identification of entities and links","Description of entities","Description of links between entities","Name","Category ","Description","Source",null,null,"Number","Identification of entities and links","Description of entities","Description of links between entities","Name","Category ","Description","Source",null,null,"Number","Identification of entities and links","Description of entities","Description of links between entities","Name","Category ","Description","Source",null,"Number","Identification of entities and links","Description of entities","Description of links between entities","Name","Category ","Description","Source"]
["Delivery",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H18),VLOOKUP(H18,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null," ",null,null,null,null,1,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Random Vehicle (RV)","Dispatchment","Pickup  task is randomly assigned to any available operational vehicle ","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,null,1,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Random Vehicle (RV)","Dispatchment","Pickup  task is randomly assigned to any available operational vehicle ","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,null,1,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Random Vehicle (RV)","Dispatchment","Pickup  task is randomly assigned to any available operational vehicle ","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,1,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Random Vehicle (RV)","Dispatchment","Pickup  task is randomly assigned to any available operational vehicle ","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)"]
["Pickup",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H19),VLOOKUP(H19,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null," ",null,null,null,null,null,2,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Nearest Vehicle (NV)","Dispatchment","Travelling speed and computed travel distance determines the nearest vehicles for pickup task","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,null,2,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Nearest Vehicle (NV)","Dispatchment","Travelling speed and computed travel distance determines the nearest vehicles for pickup task","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,null,2,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Nearest Vehicle (NV)","Dispatchment","Travelling speed and computed travel distance determines the nearest vehicles for pickup task","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,2,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Nearest Vehicle (NV)","Dispatchment","Travelling speed and computed travel distance determines the nearest vehicles for pickup task","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)"]
["Both",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H20),VLOOKUP(H20,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,"Criteria block for advanced filter",null,null,null,null,null,null,null," ",null,null,3,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Farthest Vehicle (FV)","Dispatchment","Travelling speed and computed travel distance determines the farthest vehicles for pickup task","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,null,3,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Farthest Vehicle (FV)","Dispatchment","Travelling speed and computed travel distance determines the farthest vehicles for pickup task","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,null,3,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Farthest Vehicle (FV)","Dispatchment","Travelling speed and computed travel distance determines the farthest vehicles for pickup task","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,3,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Farthest Vehicle (FV)","Dispatchment","Travelling speed and computed travel distance determines the farthest vehicles for pickup task","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)"]
[null,"What type of environment will the AGV operate within? ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H21),VLOOKUP(H21,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,"Number","Identification of entities and links","Description of entities","Description of links between entities","Name","Category ","Description","Source",null,null,null,4,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Longest Idle Vehicle (LIV)","Dispatchment","Highest dispatching priority to longest idle vehicle since last assignment","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,null,4,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Longest Idle Vehicle (LIV)","Dispatchment","Highest dispatching priority to longest idle vehicle since last assignment","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,null,4,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Longest Idle Vehicle (LIV)","Dispatchment","Highest dispatching priority to longest idle vehicle since last assignment","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,4,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Longest Idle Vehicle (LIV)","Dispatchment","Highest dispatching priority to longest idle vehicle since last assignment","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)"]
["Dynamic ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H22),VLOOKUP(H22,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,{"$f":"IF(AL16=\"\",\">0\",\">=\" &AL16)","v":">0"},null,null,null,null,{"$f":"IF(AQ16=\"\",\"*\",AQ16)","v":"Traffic Regulation"},null,null,null,null,null,5,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Most Cumulative Idle  Vehicle (MIT)","Dispatchment","Highest dispatching priority to vehicle with most cumulative idle time ","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)",null,null,5,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Most Cumulative Idle  Vehicle (MIT)","Dispatchment","Highest dispatching priority to vehicle with most cumulative idle time ","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)",null,null,5,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Most Cumulative Idle  Vehicle (MIT)","Dispatchment","Highest dispatching priority to vehicle with most cumulative idle time ","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)",null,5,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Most Cumulative Idle  Vehicle (MIT)","Dispatchment","Highest dispatching priority to vehicle with most cumulative idle time ","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)"]
["Static",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H23),VLOOKUP(H23,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,6,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Least Cumulative Idle Time (LIT)","Dispatchment","Highest dispatching priority to vehicle with least cumulative idle time ","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)",null,null,6,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Least Cumulative Idle Time (LIT)","Dispatchment","Highest dispatching priority to vehicle with least cumulative idle time ","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)",null,null,6,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Least Cumulative Idle Time (LIT)","Dispatchment","Highest dispatching priority to vehicle with least cumulative idle time ","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)",null,6,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Least Cumulative Idle Time (LIT)","Dispatchment","Highest dispatching priority to vehicle with least cumulative idle time ","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)"]
[null,"Does the AGV have to consider the loading of the objects?",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H24),VLOOKUP(H24,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,"Criteria block for advanced filter",null,null,null,null,null,null,null,null,null,null,7,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Least Utilised Vehicle (LUV)","Dispatchment","Highest dispatching priority to the vehicle with least utility in terms of material handling","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,null,7,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Least Utilised Vehicle (LUV)","Dispatchment","Highest dispatching priority to the vehicle with least utility in terms of material handling","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,null,7,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Least Utilised Vehicle (LUV)","Dispatchment","Highest dispatching priority to the vehicle with least utility in terms of material handling","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,7,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Least Utilised Vehicle (LUV)","Dispatchment","Highest dispatching priority to the vehicle with least utility in terms of material handling","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)"]
["Yes",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H25),VLOOKUP(H25,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,"Number","Identification of entities and links","Description of entities","Description of links between entities","Name","Category ","Description","Source",null,null,null,8,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","First Available Vehicle (FAFS)","Dispatchment","The first available vehicle is dispatched to requesting work centre","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)",null,null,8,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","First Available Vehicle (FAFS)","Dispatchment","The first available vehicle is dispatched to requesting work centre","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)",null,null,8,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","First Available Vehicle (FAFS)","Dispatchment","The first available vehicle is dispatched to requesting work centre","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)",null,8,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","First Available Vehicle (FAFS)","Dispatchment","The first available vehicle is dispatched to requesting work centre","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)"]
["No",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H26),VLOOKUP(H26,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,{"$f":"IF(AL16=\"\",\">0\",\">=\" &AL16)","v":">0"},{"$f":"IF(AM16=\"\",\"*\",AM16)","v":"AGV Load-Selection"},null,null,null,null,null,null,null,null,null,9,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Random Work Centre (RW)","Dispatchment","Available vehicles are dispatched to a randomly selected work centre","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,null,9,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Random Work Centre (RW)","Dispatchment","Available vehicles are dispatched to a randomly selected work centre","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,null,9,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Random Work Centre (RW)","Dispatchment","Available vehicles are dispatched to a randomly selected work centre","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,9,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Random Work Centre (RW)","Dispatchment","Available vehicles are dispatched to a randomly selected work centre","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)"]
[null,"Will the enviroment have multiple AGVs?",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H27),VLOOKUP(H27,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,10,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Shortest Travel Time / Distance (STT/D)","Dispatchment","Travelling speed and computed travel distance determines the nearest vehicles for work centre pickup task","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,null,10,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Shortest Travel Time / Distance (STT/D)","Dispatchment","Travelling speed and computed travel distance determines the nearest vehicles for work centre pickup task","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,null,10,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Shortest Travel Time / Distance (STT/D)","Dispatchment","Travelling speed and computed travel distance determines the nearest vehicles for work centre pickup task","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,10,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Shortest Travel Time / Distance (STT/D)","Dispatchment","Travelling speed and computed travel distance determines the nearest vehicles for work centre pickup task","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)"]
["Yes\nNo\n",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H28),VLOOKUP(H28,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Longest Travel Time / Distance  (LTT/D)","Dispatchment","Travelling speed and computed travel distance determines the farthest vehicles for work centre pickup task","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,null,11,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Longest Travel Time / Distance  (LTT/D)","Dispatchment","Travelling speed and computed travel distance determines the farthest vehicles for work centre pickup task","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,null,11,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Longest Travel Time / Distance  (LTT/D)","Dispatchment","Travelling speed and computed travel distance determines the farthest vehicles for work centre pickup task","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,11,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Longest Travel Time / Distance  (LTT/D)","Dispatchment","Travelling speed and computed travel distance determines the farthest vehicles for work centre pickup task","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H29),VLOOKUP(H29,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,"Criteria block for advanced filter",null,null,null,null,null,null,null,null,null,null,12,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Maximum Outgoing Queue Size (MOQS)","Dispatchment","Vehicle is assigned to the work centre with the maximum number of unit loads in its output inventory","Manufacturing Facilities: Location, Planning, and Design by Sule (2008)",null,null,12,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Maximum Outgoing Queue Size (MOQS)","Dispatchment","Vehicle is assigned to the work centre with the maximum number of unit loads in its output inventory","Manufacturing Facilities: Location, Planning, and Design by Sule (2008)",null,null,12,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Maximum Outgoing Queue Size (MOQS)","Dispatchment","Vehicle is assigned to the work centre with the maximum number of unit loads in its output inventory","Manufacturing Facilities: Location, Planning, and Design by Sule (2008)",null,12,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Maximum Outgoing Queue Size (MOQS)","Dispatchment","Vehicle is assigned to the work centre with the maximum number of unit loads in its output inventory","Manufacturing Facilities: Location, Planning, and Design by Sule (2008)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H30),VLOOKUP(H30,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,"Number","Identification of entities and links","Description of entities","Description of links between entities","Name","Category ","Description","Source",null,null,null,13,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Maximum Remaining Outgoing Queue Space (MROQS)","Dispatchment","Vehicle is assigned to the work centre with least remaining space for outgoing inventory ","Manufacturing Facilities: Location, Planning, and Design by Sule (2008)",null,null,13,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Maximum Remaining Outgoing Queue Space (MROQS)","Dispatchment","Vehicle is assigned to the work centre with least remaining space for outgoing inventory ","Manufacturing Facilities: Location, Planning, and Design by Sule (2008)",null,null,13,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Maximum Remaining Outgoing Queue Space (MROQS)","Dispatchment","Vehicle is assigned to the work centre with least remaining space for outgoing inventory ","Manufacturing Facilities: Location, Planning, and Design by Sule (2008)",null,13,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Maximum Remaining Outgoing Queue Space (MROQS)","Dispatchment","Vehicle is assigned to the work centre with least remaining space for outgoing inventory ","Manufacturing Facilities: Location, Planning, and Design by Sule (2008)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H31),VLOOKUP(H31,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,{"$f":"IF(AL16=\"\",\">0\",\">=\" &AL16)","v":">0"},null,{"$f":"IF(AN16=\"\",\"*\",AN16)","v":"AGV and other AGV; set of AGV mapped to itself"},null,null,null,null,null,null,null,null,14,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","First Come-First Serve (FCFS)","Dispatchment","Vehicle is assigned to departments in sequential chronological order based on requests","Manufacturing Facilities: Location, Planning, and Design by Sule (2008)",null,null,14,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","First Come-First Serve (FCFS)","Dispatchment","Vehicle is assigned to departments in sequential chronological order based on requests","Manufacturing Facilities: Location, Planning, and Design by Sule (2008)",null,null,14,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","First Come-First Serve (FCFS)","Dispatchment","Vehicle is assigned to departments in sequential chronological order based on requests","Manufacturing Facilities: Location, Planning, and Design by Sule (2008)",null,14,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","First Come-First Serve (FCFS)","Dispatchment","Vehicle is assigned to departments in sequential chronological order based on requests","Manufacturing Facilities: Location, Planning, and Design by Sule (2008)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H32),VLOOKUP(H32,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,19,"AGV Task-Determination","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Modified First Come-First Serve (MFCFS)","Dispatchment                                        ","Vehicle is assigned to work centres in sequential chronological order based on requests. Work centres cannot place more than one request. Number of assignment made to a work centre is related to the respective job traffic intensity in that work centre","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,null,15,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation;  Delivery","Shortest Distance (SD)","Load-Selection","Vehicle calculates the distance between the delivery point and the object to-be delivered and chooses the least distance as it's next delivery point. ","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,null,15,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation;  Delivery","Shortest Distance (SD)","Load-Selection","Vehicle calculates the distance between the delivery point and the object to-be delivered and chooses the least distance as it's next delivery point. ","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,15,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation;  Delivery","Shortest Distance (SD)","Load-Selection","Vehicle calculates the distance between the delivery point and the object to-be delivered and chooses the least distance as it's next delivery point. ","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H33),VLOOKUP(H33,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,20,"AGV Task-Determination","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Unit Load Shop Arrival  Time (ULSAT)","Dispatchment","Vehicles are assigned in an order of entry to reduce the time jobs or unit loads spend in the shop is minimised.","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,null,16,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation;  Delivery","Smallest-Remaining-Processing-Time (SRPT)","Dispatchment"," Vehicle with the least calculated remaining processing time left it assigned to delivery task","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,null,16,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation;  Delivery","Smallest-Remaining-Processing-Time (SRPT)","Dispatchment"," Vehicle with the least calculated remaining processing time left it assigned to delivery task","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,16,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation;  Delivery","Smallest-Remaining-Processing-Time (SRPT)","Dispatchment"," Vehicle with the least calculated remaining processing time left it assigned to delivery task","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H34),VLOOKUP(H34,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,"Criteria block for advanced filter",null,null,null,null,null,null,null,null,null,null,21,"AGV Task-Determination","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Entrance Control (EC) ","Dispatchment","Vehicles are assigned based on net-stocks of  vehicles at stations (number of vehicles in storage area of station, number of vehicles traveling between a decision point and the pickup station and number of loads waiting at station) in order to increase the availability  of vehicles at stations"," Design and performance analysis of multistation automated guided vehicle systems by Talbot (2003)",null,null,17,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Ordering","Micro-Opportunisitic Scheduling Algorithm (MOSA)","Dispatchment","The algorithm accounts for both crticial jobs and travel time of vehicles to determine the vehicle most suitable to carry out the order","Scheduling and Routing Algorithms for AGVs : a Survey by Ling & Jing (1999)",null,null,17,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Ordering","Micro-Opportunisitic Scheduling Algorithm (MOSA)","Dispatchment","The algorithm accounts for both crticial jobs and travel time of vehicles to determine the vehicle most suitable to carry out the order","Scheduling and Routing Algorithms for AGVs : a Survey by Ling & Jing (1999)",null,17,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Ordering","Micro-Opportunisitic Scheduling Algorithm (MOSA)","Dispatchment","The algorithm accounts for both crticial jobs and travel time of vehicles to determine the vehicle most suitable to carry out the order","Scheduling and Routing Algorithms for AGVs : a Survey by Ling & Jing (1999)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H35),VLOOKUP(H35,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,"Number","Identification of entities and links","Description of entities","Description of links between entities","Name","Category ","Description","Source",null,null,null,22,"AGV Task-Determination","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Multi-attribute dispatching (Multi-Att)","Dispatchment","Vehicles are assigned based on the vehicle requirement at a specific station and travel distance from the vehicles current position to the pickup station","Multi-attribute dispatching rules for AGV systems with many vehicles by Le-Ahn & De Koster (2004)",null,null,18,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation;  Delivery","Combination (CM) ","Dispatchment","Combines NV & SRPT. Vehicle is assigned based on both it's remaining processing time and the distance of the task in regards to the current position of the vehicle","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,null,18,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation;  Delivery","Combination (CM) ","Dispatchment","Combines NV & SRPT. Vehicle is assigned based on both it's remaining processing time and the distance of the task in regards to the current position of the vehicle","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,18,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation;  Delivery","Combination (CM) ","Dispatchment","Combines NV & SRPT. Vehicle is assigned based on both it's remaining processing time and the distance of the task in regards to the current position of the vehicle","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H36),VLOOKUP(H36,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,{"$f":"IF(AL16=\"\",\">0\",\">=\" &AL16)","v":">0"},null,null,{"$f":"IF(AO76=\"\",\"*\",AO76)","v":"Description of links between entities"},null,null,null,null,null,null,null,24,"AGV Task-Determination","AGV","Prioritisation; Pickup","Vehicle Looks For Work (VLFW)","Dispatchment ","Vehicle will look for the demand and choose next pickup task that is closest to it's position","Simulation Yodel Calculates How Many\nAutomated Guided Vehicles are Needed by Newton (1985)",null,null,19,"AGV Task-Determination","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Modified First Come-First Serve (MFCFS)","Dispatchment                                        ","Vehicle is assigned to work centres in sequential chronological order based on requests. Work centres cannot place more than one request. Number of assignment made to a work centre is related to the respective job traffic intensity in that work centre","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,null,19,"AGV Task-Determination","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Modified First Come-First Serve (MFCFS)","Dispatchment                                        ","Vehicle is assigned to work centres in sequential chronological order based on requests. Work centres cannot place more than one request. Number of assignment made to a work centre is related to the respective job traffic intensity in that work centre","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,19,"AGV Task-Determination","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Modified First Come-First Serve (MFCFS)","Dispatchment                                        ","Vehicle is assigned to work centres in sequential chronological order based on requests. Work centres cannot place more than one request. Number of assignment made to a work centre is related to the respective job traffic intensity in that work centre","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H37),VLOOKUP(H37,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,25,"AGV Task-Determination","AGV","Prioritisation; Pickup","Maximum Demand (MD)","Dispatchment ","Vehicles will priotise pickup stations based on the maximum demand for that station","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)",null,null,20,"AGV Task-Determination","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Unit Load Shop Arrival  Time (ULSAT)","Dispatchment","Vehicles are assigned in an order of entry to reduce the time jobs or unit loads spend in the shop is minimised.","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,null,20,"AGV Task-Determination","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Unit Load Shop Arrival  Time (ULSAT)","Dispatchment","Vehicles are assigned in an order of entry to reduce the time jobs or unit loads spend in the shop is minimised.","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)",null,20,"AGV Task-Determination","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Unit Load Shop Arrival  Time (ULSAT)","Dispatchment","Vehicles are assigned in an order of entry to reduce the time jobs or unit loads spend in the shop is minimised.","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H38),VLOOKUP(H38,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,26,"AGV Task-Determination","AGV","Prioritisation; Pickup","Pickup-Task First (PTF)","Dispatchment ","Vehicles always prioritise the task of pickup even if both pickup and delivery tasks are available. A vehicle\n will continue performing delivery tasks if there are loads on it","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,null,21,"AGV Task-Determination","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Entrance Control (EC) ","Dispatchment","Vehicles are assigned based on net-stocks of  vehicles at stations (number of vehicles in storage area of station, number of vehicles traveling between a decision point and the pickup station and number of loads waiting at station) in order to increase the availability  of vehicles at stations"," Design and performance analysis of multistation automated guided vehicle systems by Talbot (2003)",null,null,21,"AGV Task-Determination","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Entrance Control (EC) ","Dispatchment","Vehicles are assigned based on net-stocks of  vehicles at stations (number of vehicles in storage area of station, number of vehicles traveling between a decision point and the pickup station and number of loads waiting at station) in order to increase the availability  of vehicles at stations"," Design and performance analysis of multistation automated guided vehicle systems by Talbot (2003)",null,21,"AGV Task-Determination","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Entrance Control (EC) ","Dispatchment","Vehicles are assigned based on net-stocks of  vehicles at stations (number of vehicles in storage area of station, number of vehicles traveling between a decision point and the pickup station and number of loads waiting at station) in order to increase the availability  of vehicles at stations"," Design and performance analysis of multistation automated guided vehicle systems by Talbot (2003)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H39),VLOOKUP(H39,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,22,"AGV Task-Determination","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Multi-attribute dispatching (Multi-Att)","Dispatchment","Vehicles are assigned based on the vehicle requirement at a specific station and travel distance from the vehicles current position to the pickup station","Multi-attribute dispatching rules for AGV systems with many vehicles by Le-Ahn & De Koster (2004)",null,null,22,"AGV Task-Determination","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Multi-attribute dispatching (Multi-Att)","Dispatchment","Vehicles are assigned based on the vehicle requirement at a specific station and travel distance from the vehicles current position to the pickup station","Multi-attribute dispatching rules for AGV systems with many vehicles by Le-Ahn & De Koster (2004)",null,22,"AGV Task-Determination","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Multi-attribute dispatching (Multi-Att)","Dispatchment","Vehicles are assigned based on the vehicle requirement at a specific station and travel distance from the vehicles current position to the pickup station","Multi-attribute dispatching rules for AGV systems with many vehicles by Le-Ahn & De Koster (2004)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H40),VLOOKUP(H40,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,23,"AGV Task-Determination","AGV","Prioritisation;  Delivery","Delivery-Task First (DTF)","Dispatchment ","Vehicles always prioritise the task of delivery even if both pickup and delivery tasks are available. A vehicles\n will continue performing delivery tasks if there are loads on it","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,null,23,"AGV Task-Determination","AGV","Prioritisation;  Delivery","Delivery-Task First (DTF)","Dispatchment ","Vehicles always prioritise the task of delivery even if both pickup and delivery tasks are available. A vehicles\n will continue performing delivery tasks if there are loads on it","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,23,"AGV Task-Determination","AGV","Prioritisation;  Delivery","Delivery-Task First (DTF)","Dispatchment ","Vehicles always prioritise the task of delivery even if both pickup and delivery tasks are available. A vehicles\n will continue performing delivery tasks if there are loads on it","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H41),VLOOKUP(H41,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,24,"AGV Task-Determination","AGV","Prioritisation; Pickup","Vehicle Looks For Work (VLFW)","Dispatchment ","Vehicle will look for the demand and choose next pickup task that is closest to it's position","Simulation Yodel Calculates How Many\nAutomated Guided Vehicles are Needed by Newton (1985)",null,null,24,"AGV Task-Determination","AGV","Prioritisation; Pickup","Vehicle Looks For Work (VLFW)","Dispatchment ","Vehicle will look for the demand and choose next pickup task that is closest to it's position","Simulation Yodel Calculates How Many\nAutomated Guided Vehicles are Needed by Newton (1985)",null,24,"AGV Task-Determination","AGV","Prioritisation; Pickup","Vehicle Looks For Work (VLFW)","Dispatchment ","Vehicle will look for the demand and choose next pickup task that is closest to it's position","Simulation Yodel Calculates How Many\nAutomated Guided Vehicles are Needed by Newton (1985)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H42),VLOOKUP(H42,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,25,"AGV Task-Determination","AGV","Prioritisation; Pickup","Maximum Demand (MD)","Dispatchment ","Vehicles will priotise pickup stations based on the maximum demand for that station","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)",null,null,25,"AGV Task-Determination","AGV","Prioritisation; Pickup","Maximum Demand (MD)","Dispatchment ","Vehicles will priotise pickup stations based on the maximum demand for that station","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)",null,25,"AGV Task-Determination","AGV","Prioritisation; Pickup","Maximum Demand (MD)","Dispatchment ","Vehicles will priotise pickup stations based on the maximum demand for that station","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H43),VLOOKUP(H43,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,26,"AGV Task-Determination","AGV","Prioritisation; Pickup","Pickup-Task First (PTF)","Dispatchment ","Vehicles always prioritise the task of pickup even if both pickup and delivery tasks are available. A vehicle\n will continue performing delivery tasks if there are loads on it","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,null,26,"AGV Task-Determination","AGV","Prioritisation; Pickup","Pickup-Task First (PTF)","Dispatchment ","Vehicles always prioritise the task of pickup even if both pickup and delivery tasks are available. A vehicle\n will continue performing delivery tasks if there are loads on it","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,26,"AGV Task-Determination","AGV","Prioritisation; Pickup","Pickup-Task First (PTF)","Dispatchment ","Vehicles always prioritise the task of pickup even if both pickup and delivery tasks are available. A vehicle\n will continue performing delivery tasks if there are loads on it","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H44),VLOOKUP(H44,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,27,"AGV Task-Determination","AGV","Prioritisation; Ordering","Load-Ratio (LR)","Dispatchment ","Load ratio weighs delivery task against pickup tasks and dispatches vehicle accordingly","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,null,27,"AGV Task-Determination","AGV","Prioritisation; Ordering","Load-Ratio (LR)","Dispatchment ","Load ratio weighs delivery task against pickup tasks and dispatches vehicle accordingly","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,27,"AGV Task-Determination","AGV","Prioritisation; Ordering","Load-Ratio (LR)","Dispatchment ","Load ratio weighs delivery task against pickup tasks and dispatches vehicle accordingly","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H45),VLOOKUP(H45,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,28,"AGV Task-Determination","AGV","Selection; Delivery ","Smallest-Input-Queue (SIQ)","Load-Selection","Vehicle choose their next delivery point with the least amount of load queue","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,null,28,"AGV Task-Determination","AGV","Selection; Delivery ","Smallest-Input-Queue (SIQ)","Load-Selection","Vehicle choose their next delivery point with the least amount of load queue","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,28,"AGV Task-Determination","AGV","Selection; Delivery ","Smallest-Input-Queue (SIQ)","Load-Selection","Vehicle choose their next delivery point with the least amount of load queue","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H46),VLOOKUP(H46,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,29,"AGV Task-Determination","AGV","Selection; Delivery ","First-In-Queu-First-Out (FIQFO)","Load-Selection","Vehicle will priotise the load with the longest waiting time for delivery","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)",null,null,29,"AGV Task-Determination","AGV","Selection; Delivery ","First-In-Queu-First-Out (FIQFO)","Load-Selection","Vehicle will priotise the load with the longest waiting time for delivery","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)",null,29,"AGV Task-Determination","AGV","Selection; Delivery ","First-In-Queu-First-Out (FIQFO)","Load-Selection","Vehicle will priotise the load with the longest waiting time for delivery","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H47),VLOOKUP(H47,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,30,"AGV Task-Determination","AGV","Selection; Delivery ","Last-in-Queue-First-Out","Load-Selection","Vehicle will priotise the load with least waiting time for delivery ","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)",null,null,30,"AGV Task-Determination","AGV","Selection; Delivery ","Last-in-Queue-First-Out","Load-Selection","Vehicle will priotise the load with least waiting time for delivery ","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)",null,30,"AGV Task-Determination","AGV","Selection; Delivery ","Last-in-Queue-First-Out","Load-Selection","Vehicle will priotise the load with least waiting time for delivery ","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H48),VLOOKUP(H48,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,31,"AGV Task-Determination","AGV","Selection; Delivery ","Longest-Time-In-System (LTIS) ","Load-Selection","Vehicle choose the load with the longest time in system as next delivery task","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,null,31,"AGV Task-Determination","AGV","Selection; Delivery ","Longest-Time-In-System (LTIS) ","Load-Selection","Vehicle choose the load with the longest time in system as next delivery task","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,31,"AGV Task-Determination","AGV","Selection; Delivery ","Longest-Time-In-System (LTIS) ","Load-Selection","Vehicle choose the load with the longest time in system as next delivery task","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H49),VLOOKUP(H49,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,32,"AGV Task-Determination","AGV","Selection; Delivery ","Longest-Time-On-Vehicle (LTOV)","Load-Selection","Vehicle calculates the time of each individual object to-be delivered and picks the object with the longest time on vehicle as next delivery point","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,null,32,"AGV Task-Determination","AGV","Selection; Delivery ","Longest-Time-On-Vehicle (LTOV)","Load-Selection","Vehicle calculates the time of each individual object to-be delivered and picks the object with the longest time on vehicle as next delivery point","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,32,"AGV Task-Determination","AGV","Selection; Delivery ","Longest-Time-On-Vehicle (LTOV)","Load-Selection","Vehicle calculates the time of each individual object to-be delivered and picks the object with the longest time on vehicle as next delivery point","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H50),VLOOKUP(H50,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,33,"AGV Task-Determination","AGV","Selection; Delivery ","Earliest-Due-Time (EDT)","Load-Selection","Vehicle calculates the due time of each individual object to-be delivered and picks the object with the earliest duetime as next delivery point","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,null,33,"AGV Task-Determination","AGV","Selection; Delivery ","Earliest-Due-Time (EDT)","Load-Selection","Vehicle calculates the due time of each individual object to-be delivered and picks the object with the earliest duetime as next delivery point","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,33,"AGV Task-Determination","AGV","Selection; Delivery ","Earliest-Due-Time (EDT)","Load-Selection","Vehicle calculates the due time of each individual object to-be delivered and picks the object with the earliest duetime as next delivery point","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H51),VLOOKUP(H51,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,34,"AGV Task-Determination","AGV","Selection; Delivery ","Longest-Elapsed-Time-Since-Last-Arrival (LET)","Load-Selection","Vehicle calculates at what time each individual object to-be delivered last arrived at all possible delivery points and selects the one with the longest elapsed time for the objects ","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,null,34,"AGV Task-Determination","AGV","Selection; Delivery ","Longest-Elapsed-Time-Since-Last-Arrival (LET)","Load-Selection","Vehicle calculates at what time each individual object to-be delivered last arrived at all possible delivery points and selects the one with the longest elapsed time for the objects ","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,34,"AGV Task-Determination","AGV","Selection; Delivery ","Longest-Elapsed-Time-Since-Last-Arrival (LET)","Load-Selection","Vehicle calculates at what time each individual object to-be delivered last arrived at all possible delivery points and selects the one with the longest elapsed time for the objects ","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H52),VLOOKUP(H52,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,35,"AGV Task-Determination","AGV","Selection; Delivery ","Smallest-Slack-Time (SST)","Load-Selection","Vehicle chooses loads with the least slack-time for next delivery. Slack-time is calculated for each individual object to-be delivered taking the due time of the load and reduce it by current time of the system for the load and the remaining processing time of the load.","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,null,35,"AGV Task-Determination","AGV","Selection; Delivery ","Smallest-Slack-Time (SST)","Load-Selection","Vehicle chooses loads with the least slack-time for next delivery. Slack-time is calculated for each individual object to-be delivered taking the due time of the load and reduce it by current time of the system for the load and the remaining processing time of the load.","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,35,"AGV Task-Determination","AGV","Selection; Delivery ","Smallest-Slack-Time (SST)","Load-Selection","Vehicle chooses loads with the least slack-time for next delivery. Slack-time is calculated for each individual object to-be delivered taking the due time of the load and reduce it by current time of the system for the load and the remaining processing time of the load.","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H53),VLOOKUP(H53,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,36,"AGV Task-Determination","AGV","Selection; Delivery ","Random (RDM)","Load-Selection","Vehicle chooses a random object to-be delivered for it's next delivery point","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,null,36,"AGV Task-Determination","AGV","Selection; Delivery ","Random (RDM)","Load-Selection","Vehicle chooses a random object to-be delivered for it's next delivery point","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)",null,36,"AGV Task-Determination","AGV","Selection; Delivery ","Random (RDM)","Load-Selection","Vehicle chooses a random object to-be delivered for it's next delivery point","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H54),VLOOKUP(H54,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,37,"AGV Task-Determination","AGV","Selection; Ordering","First-Encountered-First-Served (FEFS)","Load-Selection","Vehicle will pickup the first load encountred and deliver it first","Decentralized control of automated guided vehicles on a simple loop by Bartholdi & Platzman (1989)",null,null,37,"AGV Task-Determination","AGV","Selection; Ordering","First-Encountered-First-Served (FEFS)","Load-Selection","Vehicle will pickup the first load encountred and deliver it first","Decentralized control of automated guided vehicles on a simple loop by Bartholdi & Platzman (1989)",null,37,"AGV Task-Determination","AGV","Selection; Ordering","First-Encountered-First-Served (FEFS)","Load-Selection","Vehicle will pickup the first load encountred and deliver it first","Decentralized control of automated guided vehicles on a simple loop by Bartholdi & Platzman (1989)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H55),VLOOKUP(H55,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,38,"AGV Load-Selection","AGV","Selection; Delivery ","Fixed-Route-Station-Priority (FS)","Load-Selection","Assuming that the route cannot be altered the vehicle begins by comparing if any objects at the pickup point is going to the next station that the vehicle will passed on it's route. If yes - the vehicle picks the object up otherwise the object is skipped ","Load selection of automated gudied vehicles in flexible manufacturing systems by Lee, Tangjarukij & Zhu (1996)",null,null,38,"AGV Load-Selection","AGV","Selection; Delivery ","Fixed-Route-Station-Priority (FS)","Load-Selection","Assuming that the route cannot be altered the vehicle begins by comparing if any objects at the pickup point is going to the next station that the vehicle will passed on it's route. If yes - the vehicle picks the object up otherwise the object is skipped ","Load selection of automated gudied vehicles in flexible manufacturing systems by Lee, Tangjarukij & Zhu (1996)",null,38,"AGV Load-Selection","AGV","Selection; Delivery ","Fixed-Route-Station-Priority (FS)","Load-Selection","Assuming that the route cannot be altered the vehicle begins by comparing if any objects at the pickup point is going to the next station that the vehicle will passed on it's route. If yes - the vehicle picks the object up otherwise the object is skipped ","Load selection of automated gudied vehicles in flexible manufacturing systems by Lee, Tangjarukij & Zhu (1996)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H56),VLOOKUP(H56,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,39,"AGV Load-Selection","AGV","Selection; Delivery ","Fixed-Route-Part-Priority (FP)","Load-Selection","Assuming that the route cannot be altered the vehicle only pick up and object if it's going to any of the destinations passed by in it's delivery route otherwise the object is skipped","Load selection of automated gudied vehicles in flexible manufacturing systems by Lee, Tangjarukij & Zhu (1996)",null,null,39,"AGV Load-Selection","AGV","Selection; Delivery ","Fixed-Route-Part-Priority (FP)","Load-Selection","Assuming that the route cannot be altered the vehicle only pick up and object if it's going to any of the destinations passed by in it's delivery route otherwise the object is skipped","Load selection of automated gudied vehicles in flexible manufacturing systems by Lee, Tangjarukij & Zhu (1996)",null,39,"AGV Load-Selection","AGV","Selection; Delivery ","Fixed-Route-Part-Priority (FP)","Load-Selection","Assuming that the route cannot be altered the vehicle only pick up and object if it's going to any of the destinations passed by in it's delivery route otherwise the object is skipped","Load selection of automated gudied vehicles in flexible manufacturing systems by Lee, Tangjarukij & Zhu (1996)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H57),VLOOKUP(H57,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,40,"AGV Load-Selection","AGV","Selection; Delivery ","Identical-Destination (ID)","Load-Selection","Vehicle begins by comparing if any objects at the pickup point is going to the same delivery point as it's current to-be delivered objects. If yes - the vehicle will pick these up. If no - the vehicle will check if it's has empty space left and uses a first-in-first-out rule to pick up object in the queue","A simulation study on the performance of load-selection rule for multiple-load AGVs by Ho et al (2004)",null,null,40,"AGV Load-Selection","AGV","Selection; Delivery ","Identical-Destination (ID)","Load-Selection","Vehicle begins by comparing if any objects at the pickup point is going to the same delivery point as it's current to-be delivered objects. If yes - the vehicle will pick these up. If no - the vehicle will check if it's has empty space left and uses a first-in-first-out rule to pick up object in the queue","A simulation study on the performance of load-selection rule for multiple-load AGVs by Ho et al (2004)",null,40,"AGV Load-Selection","AGV","Selection; Delivery ","Identical-Destination (ID)","Load-Selection","Vehicle begins by comparing if any objects at the pickup point is going to the same delivery point as it's current to-be delivered objects. If yes - the vehicle will pick these up. If no - the vehicle will check if it's has empty space left and uses a first-in-first-out rule to pick up object in the queue","A simulation study on the performance of load-selection rule for multiple-load AGVs by Ho et al (2004)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H58),VLOOKUP(H58,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,41,"AGV Load-Selection","AGV","Selection; Delivery ","Pick-All-Send-Nearest (PN)","Load-Selection","Vehicle will continously pick up objects until all space is utilised. For every object picked up the vehicles pathway is re-calculated and the objects with the shortest delivery travel distance is priortised","Load selection of automated gudied vehicles in flexible manufacturing systems by Lee, Tangjarukij & Zhu (1996)",null,null,41,"AGV Load-Selection","AGV","Selection; Delivery ","Pick-All-Send-Nearest (PN)","Load-Selection","Vehicle will continously pick up objects until all space is utilised. For every object picked up the vehicles pathway is re-calculated and the objects with the shortest delivery travel distance is priortised","Load selection of automated gudied vehicles in flexible manufacturing systems by Lee, Tangjarukij & Zhu (1996)",null,41,"AGV Load-Selection","AGV","Selection; Delivery ","Pick-All-Send-Nearest (PN)","Load-Selection","Vehicle will continously pick up objects until all space is utilised. For every object picked up the vehicles pathway is re-calculated and the objects with the shortest delivery travel distance is priortised","Load selection of automated gudied vehicles in flexible manufacturing systems by Lee, Tangjarukij & Zhu (1996)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H59),VLOOKUP(H59,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,42,"AGV Load-Selection","AGV","Selection; Delivery ","Variable-Route-Part-Priority (VP)","Load-Selection","The route can be altered however it cannot extend the delivery time to it's orginial delivery point. Objects will therefore only be picked up if they do not interfere with the intial routing. This could result in an intial delivery point being added after the final original delivery point has been reached","Load selection of automated gudied vehicles in flexible manufacturing systems by Lee, Tangjarukij & Zhu (1996)",null,null,42,"AGV Load-Selection","AGV","Selection; Delivery ","Variable-Route-Part-Priority (VP)","Load-Selection","The route can be altered however it cannot extend the delivery time to it's orginial delivery point. Objects will therefore only be picked up if they do not interfere with the intial routing. This could result in an intial delivery point being added after the final original delivery point has been reached","Load selection of automated gudied vehicles in flexible manufacturing systems by Lee, Tangjarukij & Zhu (1996)",null,42,"AGV Load-Selection","AGV","Selection; Delivery ","Variable-Route-Part-Priority (VP)","Load-Selection","The route can be altered however it cannot extend the delivery time to it's orginial delivery point. Objects will therefore only be picked up if they do not interfere with the intial routing. This could result in an intial delivery point being added after the final original delivery point has been reached","Load selection of automated gudied vehicles in flexible manufacturing systems by Lee, Tangjarukij & Zhu (1996)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H60),VLOOKUP(H60,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,43,"AGV Load-Selection","AGV","Selection; Delivery ","Variable-Route-Station-Priority (VS)","Load-Selection","The route can be altered however it cannot extend the delivery time to it's orginial delivery point. Objects will therefore only be picked up if they do not interfere with the intial routing and begins by comparing if any objects at the pickup point is going to the next station that the vehicle will passed on it's route. If yes - the vehicle picks the object up otherwise the object is skipped ","Load selection of automated gudied vehicles in flexible manufacturing systems by Lee, Tangjarukij & Zhu (1996)",null,null,43,"AGV Load-Selection","AGV","Selection; Delivery ","Variable-Route-Station-Priority (VS)","Load-Selection","The route can be altered however it cannot extend the delivery time to it's orginial delivery point. Objects will therefore only be picked up if they do not interfere with the intial routing and begins by comparing if any objects at the pickup point is going to the next station that the vehicle will passed on it's route. If yes - the vehicle picks the object up otherwise the object is skipped ","Load selection of automated gudied vehicles in flexible manufacturing systems by Lee, Tangjarukij & Zhu (1996)",null,43,"AGV Load-Selection","AGV","Selection; Delivery ","Variable-Route-Station-Priority (VS)","Load-Selection","The route can be altered however it cannot extend the delivery time to it's orginial delivery point. Objects will therefore only be picked up if they do not interfere with the intial routing and begins by comparing if any objects at the pickup point is going to the next station that the vehicle will passed on it's route. If yes - the vehicle picks the object up otherwise the object is skipped ","Load selection of automated gudied vehicles in flexible manufacturing systems by Lee, Tangjarukij & Zhu (1996)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H61),VLOOKUP(H61,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,44,"Collision Avoidance","AGV and other AGV; set of AGV mapped to itself","Selection; Delivery ","Improved Ant Colony Algorithm (IAC)","Traffic Regulation","Each operative vehicle will realease a data phermone trail which gets stronger the more the trail is used but weakness if not overtime, thus allowing for an optimal path to be calculated, for other vehicles in the area, using statistical probability","Study on robot path collision avoidance planning based on the improved ant colony alogorithm by Li, et al (2016)",null,null,44,"Collision Avoidance","AGV and other AGV; set of AGV mapped to itself","Selection; Delivery ","Improved Ant Colony Algorithm (IAC)","Traffic Regulation","Each operative vehicle will realease a data phermone trail which gets stronger the more the trail is used but weakness if not overtime, thus allowing for an optimal path to be calculated, for other vehicles in the area, using statistical probability","Study on robot path collision avoidance planning based on the improved ant colony alogorithm by Li, et al (2016)",null,44,"Collision Avoidance","AGV and other AGV; set of AGV mapped to itself","Selection; Delivery ","Improved Ant Colony Algorithm (IAC)","Traffic Regulation","Each operative vehicle will realease a data phermone trail which gets stronger the more the trail is used but weakness if not overtime, thus allowing for an optimal path to be calculated, for other vehicles in the area, using statistical probability","Study on robot path collision avoidance planning based on the improved ant colony alogorithm by Li, et al (2016)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H62),VLOOKUP(H62,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,45,"Collision Avoidance","AGV and other AGV; set of AGV mapped to itself","Collision; Ordering","Warning/Stop Zone Shutdown (WSZS) ","Traffic Regulation","By using features such as camera or sensors the vehicle can determine the distance of an obsticle. To avoid collision a shutdown critera is set where obsticles cannot be closer than the max distance to the vehicle","How do the vehicles work in an AGV system? By MHI (2012)",null,null,45,"Collision Avoidance","AGV and other AGV; set of AGV mapped to itself","Collision; Ordering","Warning/Stop Zone Shutdown (WSZS) ","Traffic Regulation","By using features such as camera or sensors the vehicle can determine the distance of an obsticle. To avoid collision a shutdown critera is set where obsticles cannot be closer than the max distance to the vehicle","How do the vehicles work in an AGV system? By MHI (2012)",null,45,"Collision Avoidance","AGV and other AGV; set of AGV mapped to itself","Collision; Ordering","Warning/Stop Zone Shutdown (WSZS) ","Traffic Regulation","By using features such as camera or sensors the vehicle can determine the distance of an obsticle. To avoid collision a shutdown critera is set where obsticles cannot be closer than the max distance to the vehicle","How do the vehicles work in an AGV system? By MHI (2012)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H63),VLOOKUP(H63,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,46,"Path Routing ","AGV","Selection; Travel Route","Greedy Policy/Algorithm (GPA)","Routing Method","Vehicle will seek to find the shortest distance possible without consideration to anything, such as other vehicles, outside of it's programmed environment","Scheduling and Routing Algorithms for AGVs : a Survey by Ling & Jing (1999)",null,null,46,"Path Routing ","AGV","Selection; Travel Route","Greedy Policy/Algorithm (GPA)","Routing Method","Vehicle will seek to find the shortest distance possible without consideration to anything, such as other vehicles, outside of it's programmed environment","Scheduling and Routing Algorithms for AGVs : a Survey by Ling & Jing (1999)",null,46,"Path Routing ","AGV","Selection; Travel Route","Greedy Policy/Algorithm (GPA)","Routing Method","Vehicle will seek to find the shortest distance possible without consideration to anything, such as other vehicles, outside of it's programmed environment","Scheduling and Routing Algorithms for AGVs : a Survey by Ling & Jing (1999)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H64),VLOOKUP(H64,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,47,"Path Routing ","AGV","Selection; Travel Route","Time Window (TW)","Routing Method","Vehicles ability to move around is determine by a specific time window","Time Windows Based Dynamic Routing in Multi-AGV System by  Smolic-Rocak et al (2010)",null,null,47,"Path Routing ","AGV","Selection; Travel Route","Time Window (TW)","Routing Method","Vehicles ability to move around is determine by a specific time window","Time Windows Based Dynamic Routing in Multi-AGV System by  Smolic-Rocak et al (2010)",null,47,"Path Routing ","AGV","Selection; Travel Route","Time Window (TW)","Routing Method","Vehicles ability to move around is determine by a specific time window","Time Windows Based Dynamic Routing in Multi-AGV System by  Smolic-Rocak et al (2010)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H65),VLOOKUP(H65,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,48,"Path Routing ","AGV and other AGV; set of AGV mapped to itself","Selection; Travel Route","Djikstra's Shortest Path Algorithm (DSP)","Routing Method","Vehicles path is determined by calculating the occupation time for specific positions for all operative vehicles and compared to avoid potential conflict. Head-to-head conflicts are avoided by the vehicle finding another shortest path with consideration to the occupied space. Head-to-tail conflicts are avoided by deploying a FIFO approach letting the vehicle who was routed to occupy the space first pass","A Note on  Two Problems in Connexion with Graphs by  Dijkstra (1958)",null,null,48,"Path Routing ","AGV and other AGV; set of AGV mapped to itself","Selection; Travel Route","Djikstra's Shortest Path Algorithm (DSP)","Routing Method","Vehicles path is determined by calculating the occupation time for specific positions for all operative vehicles and compared to avoid potential conflict. Head-to-head conflicts are avoided by the vehicle finding another shortest path with consideration to the occupied space. Head-to-tail conflicts are avoided by deploying a FIFO approach letting the vehicle who was routed to occupy the space first pass","A Note on  Two Problems in Connexion with Graphs by  Dijkstra (1958)",null,48,"Path Routing ","AGV and other AGV; set of AGV mapped to itself","Selection; Travel Route","Djikstra's Shortest Path Algorithm (DSP)","Routing Method","Vehicles path is determined by calculating the occupation time for specific positions for all operative vehicles and compared to avoid potential conflict. Head-to-head conflicts are avoided by the vehicle finding another shortest path with consideration to the occupied space. Head-to-tail conflicts are avoided by deploying a FIFO approach letting the vehicle who was routed to occupy the space first pass","A Note on  Two Problems in Connexion with Graphs by  Dijkstra (1958)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H66),VLOOKUP(H66,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,49,"Path Routing ","AGV and other AGV; set of AGV mapped to itself","Selection; Travel Route","Partioning Shortest Path (PSP) Algorithm ","Routing Method","Vehicles path is deternined with consideration to other operative vehicles path which are assumed fixed. Thus, making it impossible for two or more vehicles to take the same path","Scheduling and Routing Algorithms for AGVs : a Survey by Ling & Jing (1999)",null,null,49,"Path Routing ","AGV and other AGV; set of AGV mapped to itself","Selection; Travel Route","Partioning Shortest Path (PSP) Algorithm ","Routing Method","Vehicles path is deternined with consideration to other operative vehicles path which are assumed fixed. Thus, making it impossible for two or more vehicles to take the same path","Scheduling and Routing Algorithms for AGVs : a Survey by Ling & Jing (1999)",null,49,"Path Routing ","AGV and other AGV; set of AGV mapped to itself","Selection; Travel Route","Partioning Shortest Path (PSP) Algorithm ","Routing Method","Vehicles path is deternined with consideration to other operative vehicles path which are assumed fixed. Thus, making it impossible for two or more vehicles to take the same path","Scheduling and Routing Algorithms for AGVs : a Survey by Ling & Jing (1999)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H67),VLOOKUP(H67,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,50,"Path Routing ","AGV","Selection; Travel Route","Labeling (LBL) Algorithm ","Routing Method","The algorithm converts every physical path segement into a node and  links in with two junctions and/or stations  and assigns labels with a window time for each node. The vehicle can then compare the time of each labeled  node and determine the shortest path for a single AGV ","Scheduling and Routing Algorithms for AGVs : a Survey by Ling & Jing (1999)",null,null,50,"Path Routing ","AGV","Selection; Travel Route","Labeling (LBL) Algorithm ","Routing Method","The algorithm converts every physical path segement into a node and  links in with two junctions and/or stations  and assigns labels with a window time for each node. The vehicle can then compare the time of each labeled  node and determine the shortest path for a single AGV ","Scheduling and Routing Algorithms for AGVs : a Survey by Ling & Jing (1999)",null,50,"Path Routing ","AGV","Selection; Travel Route","Labeling (LBL) Algorithm ","Routing Method","The algorithm converts every physical path segement into a node and  links in with two junctions and/or stations  and assigns labels with a window time for each node. The vehicle can then compare the time of each labeled  node and determine the shortest path for a single AGV ","Scheduling and Routing Algorithms for AGVs : a Survey by Ling & Jing (1999)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H68),VLOOKUP(H68,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,51,"Path Routing ","AGV and other AGV; set of AGV mapped to itself","Selection; Travel Route","Incremental Route Planning (IRP)","Routing Method","Using a system of nodes, the vehicles pathway is planned incrementally, step by step, by checking the status of the closets nodes to the vehicles position and how other vehicles are moving around the network. The node with the shortest travel path is selected and the process reiterates until the vehicles destination is reached","Scheduling and Routing Algorithms for AGVs : a Survey by Ling & Jing (1999)",null,null,51,"Path Routing ","AGV and other AGV; set of AGV mapped to itself","Selection; Travel Route","Incremental Route Planning (IRP)","Routing Method","Using a system of nodes, the vehicles pathway is planned incrementally, step by step, by checking the status of the closets nodes to the vehicles position and how other vehicles are moving around the network. The node with the shortest travel path is selected and the process reiterates until the vehicles destination is reached","Scheduling and Routing Algorithms for AGVs : a Survey by Ling & Jing (1999)",null,51,"Path Routing ","AGV and other AGV; set of AGV mapped to itself","Selection; Travel Route","Incremental Route Planning (IRP)","Routing Method","Using a system of nodes, the vehicles pathway is planned incrementally, step by step, by checking the status of the closets nodes to the vehicles position and how other vehicles are moving around the network. The node with the shortest travel path is selected and the process reiterates until the vehicles destination is reached","Scheduling and Routing Algorithms for AGVs : a Survey by Ling & Jing (1999)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H69),VLOOKUP(H69,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,52,"Path Routing ","AGV and other AGV; set of AGV mapped to itself","Selection; Travel Route","State-space of Partial Transportation Plans Algorithm (SPPTP)","Routing Method","The algorithm only plans a partial transportation plan for a maximum of two vehicle and defines a state for it. Dynamic programming is then used to find an optimal solution by comparing and identifiying ths best best state","Dispatching, Routing, and Scheduling of Two Automated\nGuided Vehicles in a Flexible Manufacturing System by Langevin, Lauzon & Riopel (1996)",null,null,52,"Path Routing ","AGV and other AGV; set of AGV mapped to itself","Selection; Travel Route","State-space of Partial Transportation Plans Algorithm (SPPTP)","Routing Method","The algorithm only plans a partial transportation plan for a maximum of two vehicle and defines a state for it. Dynamic programming is then used to find an optimal solution by comparing and identifiying ths best best state","Dispatching, Routing, and Scheduling of Two Automated\nGuided Vehicles in a Flexible Manufacturing System by Langevin, Lauzon & Riopel (1996)",null,52,"Path Routing ","AGV and other AGV; set of AGV mapped to itself","Selection; Travel Route","State-space of Partial Transportation Plans Algorithm (SPPTP)","Routing Method","The algorithm only plans a partial transportation plan for a maximum of two vehicle and defines a state for it. Dynamic programming is then used to find an optimal solution by comparing and identifiying ths best best state","Dispatching, Routing, and Scheduling of Two Automated\nGuided Vehicles in a Flexible Manufacturing System by Langevin, Lauzon & Riopel (1996)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H70),VLOOKUP(H70,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,53,"Path Routing ","AGV and other AGV; set of AGV mapped to itself","Selection; Travel Route","Evolutionary Algorithm ","Routing Method","The algorithm assumes each vehicle to be a decentralised agent and generates a partial  route which is not allow to interfere with other vehicles. By using the concept of pheromone data trails the algorithm can use statistical probability of the next  partial route candidates being occupied or not","Evolutionary routing method for multi mobile\nrobots in transportation by Konishi et al (2002)",null,null,53,"Path Routing ","AGV and other AGV; set of AGV mapped to itself","Selection; Travel Route","Evolutionary Algorithm ","Routing Method","The algorithm assumes each vehicle to be a decentralised agent and generates a partial  route which is not allow to interfere with other vehicles. By using the concept of pheromone data trails the algorithm can use statistical probability of the next  partial route candidates being occupied or not","Evolutionary routing method for multi mobile\nrobots in transportation by Konishi et al (2002)",null,53,"Path Routing ","AGV and other AGV; set of AGV mapped to itself","Selection; Travel Route","Evolutionary Algorithm ","Routing Method","The algorithm assumes each vehicle to be a decentralised agent and generates a partial  route which is not allow to interfere with other vehicles. By using the concept of pheromone data trails the algorithm can use statistical probability of the next  partial route candidates being occupied or not","Evolutionary routing method for multi mobile\nrobots in transportation by Konishi et al (2002)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H71),VLOOKUP(H71,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H72),VLOOKUP(H72,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H73),VLOOKUP(H73,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H74),VLOOKUP(H74,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H75),VLOOKUP(H75,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H76),VLOOKUP(H76,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Number","Identification of entities and links","Description of entities","Description of links between entities","Name","Category ","Description","Source"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H77),VLOOKUP(H77,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H78),VLOOKUP(H78,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H79),VLOOKUP(H79,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H80),VLOOKUP(H80,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H81),VLOOKUP(H81,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H82),VLOOKUP(H82,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H83),VLOOKUP(H83,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H84),VLOOKUP(H84,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H85),VLOOKUP(H85,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H86),VLOOKUP(H86,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H87),VLOOKUP(H87,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H88),VLOOKUP(H88,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H89),VLOOKUP(H89,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H90),VLOOKUP(H90,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H91),VLOOKUP(H91,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H92),VLOOKUP(H92,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H93),VLOOKUP(H93,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H94),VLOOKUP(H94,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H95),VLOOKUP(H95,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H96),VLOOKUP(H96,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H97),VLOOKUP(H97,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H98),VLOOKUP(H98,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H99),VLOOKUP(H99,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H100),VLOOKUP(H100,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H101),VLOOKUP(H101,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF(ISTEXT(H102),VLOOKUP(H102,Database!$E$8:$F$1048576,2,FALSE),\"\")","v":""}]
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[null,null,"With this sheet you can easily add new rules to the already existing ones in the database by inputting all required data in the fields. Once finished just press on the \"add rule\" button and the rules will be added to the database. To prevent that the same rule is input twice, the form will be cleared."]
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[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Prioritisation between multiple AGVs","Dispatchment"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"AGV\n","Prioritisation;  Delivery","AGV Task-Determination","Routing Method"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Prioritisation; Ordering","AGV Load-Selection","Traffic Regulation"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Selection; Delivery ","Collision Avoidance","Load-Selection"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Selection; Ordering","Path Routing "]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Collision; Ordering"]
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[null,null,null,"Routing Methiod","AGV Load-Selection",null,"Prioritisation; Ordering"]
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["Number","Identification of entities and links","Description of entities","Description of links between entities","Rule","Category ","Description","Source"]
[1,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Random Vehicle (RV)","Dispatchment","Pickup  task is randomly assigned to any available operational vehicle ","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)"]
[2,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Nearest Vehicle (NV)","Dispatchment","Travelling speed and computed travel distance determines the nearest vehicles for pickup task","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)"]
[3,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Farthest Vehicle (FV)","Dispatchment","Travelling speed and computed travel distance determines the farthest vehicles for pickup task","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)"]
[4,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Longest Idle Vehicle (LIV)","Dispatchment","Highest dispatching priority to longest idle vehicle since last assignment","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)"]
[5,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Most Cumulative Idle  Vehicle (MIT)","Dispatchment","Highest dispatching priority to vehicle with most cumulative idle time ","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)"]
[6,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Least Cumulative Idle Time (LIT)","Dispatchment","Highest dispatching priority to vehicle with least cumulative idle time ","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)"]
[7,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Least Utilised Vehicle (LUV)","Dispatchment","Highest dispatching priority to the vehicle with least utility in terms of material handling","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)"]
[8,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","First Available Vehicle (FAFS)","Dispatchment","The first available vehicle is dispatched to requesting work centre","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)"]
[9,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Random Work Centre (RW)","Dispatchment","Available vehicles are dispatched to a randomly selected work centre","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)"]
[10,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Shortest Travel Time / Distance (STT/D)","Dispatchment","Travelling speed and computed travel distance determines the nearest vehicles for work centre pickup task","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)"]
[11,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Longest Travel Time / Distance  (LTT/D)","Dispatchment","Travelling speed and computed travel distance determines the farthest vehicles for work centre pickup task","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)"]
[12,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Maximum Outgoing Queue Size (MOQS)","Dispatchment","Vehicle is assigned to the work centre with the maximum number of unit loads in its output inventory","Manufacturing Facilities: Location, Planning, and Design by Sule (2008)"]
[13,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Maximum Remaining Outgoing Queue Space (MROQS)","Dispatchment","Vehicle is assigned to the work centre with least remaining space for outgoing inventory ","Manufacturing Facilities: Location, Planning, and Design by Sule (2008)"]
[14,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","First Come-First Serve (FCFS)","Dispatchment","Vehicle is assigned to departments in sequential chronological order based on requests","Manufacturing Facilities: Location, Planning, and Design by Sule (2008)"]
[15,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation;  Delivery","Shortest Distance (SD)","Load-Selection","Vehicle calculates the distance between the delivery point and the object to-be delivered and chooses the least distance as it's next delivery point. ","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[16,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation;  Delivery","Smallest-Remaining-Processing-Time (SRPT)","Dispatchment"," Vehicle with the least calculated remaining processing time left it assigned to delivery task","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[17,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Ordering","Micro-Opportunisitic Scheduling Algorithm (MOSA)","Dispatchment","The algorithm accounts for both crticial jobs and travel time of vehicles to determine the vehicle most suitable to carry out the order","Scheduling and Routing Algorithms for AGVs : a Survey by Ling & Jing (1999)"]
[18,"Prioritisation between multiple AGVs","AGV and other AGV; set of AGV mapped to itself","Prioritisation;  Delivery","Combination (CM) ","Dispatchment","Combines NV & SRPT. Vehicle is assigned based on both it's remaining processing time and the distance of the task in regards to the current position of the vehicle","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[19,"AGV Task-Determination","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Modified First Come-First Serve (MFCFS)","Dispatchment                                        ","Vehicle is assigned to work centres in sequential chronological order based on requests. Work centres cannot place more than one request. Number of assignment made to a work centre is related to the respective job traffic intensity in that work centre","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)"]
[20,"AGV Task-Determination","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Unit Load Shop Arrival  Time (ULSAT)","Dispatchment","Vehicles are assigned in an order of entry to reduce the time jobs or unit loads spend in the shop is minimised.","Characterization of  automatic guided vehicles  dispatching rules by Egbelu & Tanchoco (1984)"]
[21,"AGV Task-Determination","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Entrance Control (EC) ","Dispatchment","Vehicles are assigned based on net-stocks of  vehicles at stations (number of vehicles in storage area of station, number of vehicles traveling between a decision point and the pickup station and number of loads waiting at station) in order to increase the availability  of vehicles at stations"," Design and performance analysis of multistation automated guided vehicle systems by Talbot (2003)"]
[22,"AGV Task-Determination","AGV and other AGV; set of AGV mapped to itself","Prioritisation; Pickup","Multi-attribute dispatching (Multi-Att)","Dispatchment","Vehicles are assigned based on the vehicle requirement at a specific station and travel distance from the vehicles current position to the pickup station","Multi-attribute dispatching rules for AGV systems with many vehicles by Le-Ahn & De Koster (2004)"]
[23,"AGV Task-Determination","AGV","Prioritisation;  Delivery","Delivery-Task First (DTF)","Dispatchment ","Vehicles always prioritise the task of delivery even if both pickup and delivery tasks are available. A vehicles\n will continue performing delivery tasks if there are loads on it","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[24,"AGV Task-Determination","AGV","Prioritisation; Pickup","Vehicle Looks For Work (VLFW)","Dispatchment ","Vehicle will look for the demand and choose next pickup task that is closest to it's position","Simulation Yodel Calculates How Many\nAutomated Guided Vehicles are Needed by Newton (1985)"]
[25,"AGV Task-Determination","AGV","Prioritisation; Pickup","Maximum Demand (MD)","Dispatchment ","Vehicles will priotise pickup stations based on the maximum demand for that station","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)"]
[26,"AGV Task-Determination","AGV","Prioritisation; Pickup","Pickup-Task First (PTF)","Dispatchment ","Vehicles always prioritise the task of pickup even if both pickup and delivery tasks are available. A vehicle\n will continue performing delivery tasks if there are loads on it","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[27,"AGV Task-Determination","AGV","Prioritisation; Ordering","Load-Ratio (LR)","Dispatchment ","Load ratio weighs delivery task against pickup tasks and dispatches vehicle accordingly","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[28,"AGV Task-Determination","AGV","Selection; Delivery ","Smallest-Input-Queue (SIQ)","Load-Selection","Vehicle choose their next delivery point with the least amount of load queue","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[29,"AGV Task-Determination","AGV","Selection; Delivery ","First-In-Queu-First-Out (FIQFO)","Load-Selection","Vehicle will priotise the load with the longest waiting time for delivery","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)"]
[30,"AGV Task-Determination","AGV","Selection; Delivery ","Last-in-Queue-First-Out","Load-Selection","Vehicle will priotise the load with least waiting time for delivery ","The Selection of the Best Control Rule  for a Multiple-Load AGV System Using Simulation and Fuzzy MADM in Flexible Manufacturing System by Azimi, Haleh & Alidoost (2010)"]
[31,"AGV Task-Determination","AGV","Selection; Delivery ","Longest-Time-In-System (LTIS) ","Load-Selection","Vehicle choose the load with the longest time in system as next delivery task","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[32,"AGV Task-Determination","AGV","Selection; Delivery ","Longest-Time-On-Vehicle (LTOV)","Load-Selection","Vehicle calculates the time of each individual object to-be delivered and picks the object with the longest time on vehicle as next delivery point","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[33,"AGV Task-Determination","AGV","Selection; Delivery ","Earliest-Due-Time (EDT)","Load-Selection","Vehicle calculates the due time of each individual object to-be delivered and picks the object with the earliest duetime as next delivery point","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[34,"AGV Task-Determination","AGV","Selection; Delivery ","Longest-Elapsed-Time-Since-Last-Arrival (LET)","Load-Selection","Vehicle calculates at what time each individual object to-be delivered last arrived at all possible delivery points and selects the one with the longest elapsed time for the objects ","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[35,"AGV Task-Determination","AGV","Selection; Delivery ","Smallest-Slack-Time (SST)","Load-Selection","Vehicle chooses loads with the least slack-time for next delivery. Slack-time is calculated for each individual object to-be delivered taking the due time of the load and reduce it by current time of the system for the load and the remaining processing time of the load.","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[36,"AGV Task-Determination","AGV","Selection; Delivery ","Random (RDM)","Load-Selection","Vehicle chooses a random object to-be delivered for it's next delivery point","A simulation study on the performance of task-determination\nrules and delivery-dispatching\nrules for multiple-load AGVs by Ho & Chien (2004)"]
[37,"AGV Task-Determination","AGV","Selection; Ordering","First-Encountered-First-Served (FEFS)","Load-Selection","Vehicle will pickup the first load encountred and deliver it first","Decentralized control of automated guided vehicles on a simple loop by Bartholdi & Platzman (1989)"]
[38,"AGV Load-Selection","AGV","Selection; Delivery ","Fixed-Route-Station-Priority (FS)","Load-Selection","Assuming that the route cannot be altered the vehicle begins by comparing if any objects at the pickup point is going to the next station that the vehicle will passed on it's route. If yes - the vehicle picks the object up otherwise the object is skipped ","Load selection of automated gudied vehicles in flexible manufacturing systems by Lee, Tangjarukij & Zhu (1996)"]
[39,"AGV Load-Selection","AGV","Selection; Delivery ","Fixed-Route-Part-Priority (FP)","Load-Selection","Assuming that the route cannot be altered the vehicle only pick up and object if it's going to any of the destinations passed by in it's delivery route otherwise the object is skipped","Load selection of automated gudied vehicles in flexible manufacturing systems by Lee, Tangjarukij & Zhu (1996)"]
[40,"AGV Load-Selection","AGV","Selection; Delivery ","Identical-Destination (ID)","Load-Selection","Vehicle begins by comparing if any objects at the pickup point is going to the same delivery point as it's current to-be delivered objects. If yes - the vehicle will pick these up. If no - the vehicle will check if it's has empty space left and uses a first-in-first-out rule to pick up object in the queue","A simulation study on the performance of load-selection rule for multiple-load AGVs by Ho et al (2004)"]
[41,"AGV Load-Selection","AGV","Selection; Delivery ","Pick-All-Send-Nearest (PN)","Load-Selection","Vehicle will continously pick up objects until all space is utilised. For every object picked up the vehicles pathway is re-calculated and the objects with the shortest delivery travel distance is priortised","Load selection of automated gudied vehicles in flexible manufacturing systems by Lee, Tangjarukij & Zhu (1996)"]
[42,"AGV Load-Selection","AGV","Selection; Delivery ","Variable-Route-Part-Priority (VP)","Load-Selection","The route can be altered however it cannot extend the delivery time to it's orginial delivery point. Objects will therefore only be picked up if they do not interfere with the intial routing. This could result in an intial delivery point being added after the final original delivery point has been reached","Load selection of automated gudied vehicles in flexible manufacturing systems by Lee, Tangjarukij & Zhu (1996)"]
[43,"AGV Load-Selection","AGV","Selection; Delivery ","Variable-Route-Station-Priority (VS)","Load-Selection","The route can be altered however it cannot extend the delivery time to it's orginial delivery point. Objects will therefore only be picked up if they do not interfere with the intial routing and begins by comparing if any objects at the pickup point is going to the next station that the vehicle will passed on it's route. If yes - the vehicle picks the object up otherwise the object is skipped ","Load selection of automated gudied vehicles in flexible manufacturing systems by Lee, Tangjarukij & Zhu (1996)"]
[44,"Collision Avoidance","AGV and other AGV; set of AGV mapped to itself","Selection; Delivery ","Improved Ant Colony Algorithm (IAC)","Traffic Regulation","Each operative vehicle will realease a data phermone trail which gets stronger the more the trail is used but weakness if not overtime, thus allowing for an optimal path to be calculated, for other vehicles in the area, using statistical probability","Study on robot path collision avoidance planning based on the improved ant colony alogorithm by Li, et al (2016)"]
[45,"Collision Avoidance","AGV and other AGV; set of AGV mapped to itself","Collision; Ordering","Warning/Stop Zone Shutdown (WSZS) ","Traffic Regulation","By using features such as camera or sensors the vehicle can determine the distance of an obsticle. To avoid collision a shutdown critera is set where obsticles cannot be closer than the max distance to the vehicle","How do the vehicles work in an AGV system? By MHI (2012)"]
[46,"Path Routing ","AGV","Selection; Travel Route","Greedy Policy/Algorithm (GPA)","Routing Method","Vehicle will seek to find the shortest distance possible without consideration to anything, such as other vehicles, outside of it's programmed environment","Scheduling and Routing Algorithms for AGVs : a Survey by Ling & Jing (1999)"]
[47,"Path Routing ","AGV","Selection; Travel Route","Time Window (TW)","Routing Method","Vehicles ability to move around is determine by a specific time window","Time Windows Based Dynamic Routing in Multi-AGV System by  Smolic-Rocak et al (2010)"]
[48,"Path Routing ","AGV and other AGV; set of AGV mapped to itself","Selection; Travel Route","Djikstra's Shortest Path Algorithm (DSP)","Routing Method","Vehicles path is determined by calculating the occupation time for specific positions for all operative vehicles and compared to avoid potential conflict. Head-to-head conflicts are avoided by the vehicle finding another shortest path with consideration to the occupied space. Head-to-tail conflicts are avoided by deploying a FIFO approach letting the vehicle who was routed to occupy the space first pass","A Note on  Two Problems in Connexion with Graphs by  Dijkstra (1958)"]
[49,"Path Routing ","AGV and other AGV; set of AGV mapped to itself","Selection; Travel Route","Partioning Shortest Path (PSP) Algorithm ","Routing Method","Vehicles path is deternined with consideration to other operative vehicles path which are assumed fixed. Thus, making it impossible for two or more vehicles to take the same path","Scheduling and Routing Algorithms for AGVs : a Survey by Ling & Jing (1999)"]
[50,"Path Routing ","AGV","Selection; Travel Route","Labeling (LBL) Algorithm ","Routing Method","The algorithm converts every physical path segement into a node and  links in with two junctions and/or stations  and assigns labels with a window time for each node. The vehicle can then compare the time of each labeled  node and determine the shortest path for a single AGV ","Scheduling and Routing Algorithms for AGVs : a Survey by Ling & Jing (1999)"]
[51,"Path Routing ","AGV and other AGV; set of AGV mapped to itself","Selection; Travel Route","Incremental Route Planning (IRP)","Routing Method","Using a system of nodes, the vehicles pathway is planned incrementally, step by step, by checking the status of the closets nodes to the vehicles position and how other vehicles are moving around the network. The node with the shortest travel path is selected and the process reiterates until the vehicles destination is reached","Scheduling and Routing Algorithms for AGVs : a Survey by Ling & Jing (1999)"]
[52,"Path Routing ","AGV and other AGV; set of AGV mapped to itself","Selection; Travel Route","State-space of Partial Transportation Plans Algorithm (SPPTP)","Routing Method","The algorithm only plans a partial transportation plan for a maximum of two vehicle and defines a state for it. Dynamic programming is then used to find an optimal solution by comparing and identifiying ths best best state","Dispatching, Routing, and Scheduling of Two Automated\nGuided Vehicles in a Flexible Manufacturing System by Langevin, Lauzon & Riopel (1996)"]
[53,"Path Routing ","AGV and other AGV; set of AGV mapped to itself","Selection; Travel Route","Evolutionary Algorithm ","Routing Method","The algorithm assumes each vehicle to be a decentralised agent and generates a partial  route which is not allow to interfere with other vehicles. By using the concept of pheromone data trails the algorithm can use statistical probability of the next  partial route candidates being occupied or not","Evolutionary routing method for multi mobile\nrobots in transportation by Konishi et al (2002)"]
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