{"title":"制造车间AGVS操作过程仿真设计","authors":"Wanru Cui, Haoran Wang, Bin-Heng Jan","doi":"10.1109/YAC.2019.8787622","DOIUrl":null,"url":null,"abstract":"The key to achieve maximum efficiency of AGVS is to enable the car to take the shortest possible route in the shortest possible time-AGV's scheduling and path planning; The AGV optimal Quantity configuration is able to reduce the cost. In summary, The goal is to establish the queuing theory model with the shortest moving path and the lowest cost, and validate it with Flexsim simulation to provide theoretical support to research for AGVS in the future.","PeriodicalId":6669,"journal":{"name":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"973 1","pages":"6-10"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Simulation Design of AGVS Operating Process in Manufacturing Workshop\",\"authors\":\"Wanru Cui, Haoran Wang, Bin-Heng Jan\",\"doi\":\"10.1109/YAC.2019.8787622\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The key to achieve maximum efficiency of AGVS is to enable the car to take the shortest possible route in the shortest possible time-AGV's scheduling and path planning; The AGV optimal Quantity configuration is able to reduce the cost. In summary, The goal is to establish the queuing theory model with the shortest moving path and the lowest cost, and validate it with Flexsim simulation to provide theoretical support to research for AGVS in the future.\",\"PeriodicalId\":6669,\"journal\":{\"name\":\"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)\",\"volume\":\"973 1\",\"pages\":\"6-10\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/YAC.2019.8787622\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 34rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/YAC.2019.8787622","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Simulation Design of AGVS Operating Process in Manufacturing Workshop
The key to achieve maximum efficiency of AGVS is to enable the car to take the shortest possible route in the shortest possible time-AGV's scheduling and path planning; The AGV optimal Quantity configuration is able to reduce the cost. In summary, The goal is to establish the queuing theory model with the shortest moving path and the lowest cost, and validate it with Flexsim simulation to provide theoretical support to research for AGVS in the future.