{"title":"基于PSO和GIS的供应链管理决策支持系统","authors":"Jianjun Lei, Jun Yu Li","doi":"10.1109/CASE.2009.55","DOIUrl":null,"url":null,"abstract":"A decision support system to solve the multi-depot vehicle routing problems with fixed distribution of vehicles (MDVRPFD) is introduced. In the system, the data of the customers, the suppliers, and the topologies of the roads are stored and managed by the geographic information system (GIS), and a modified genetic particle swarm optimization method (MGPSO) is employed to provide the routings of the vehicles. In the MPSO, the two-stage approach is employed which decomposes the MDVRPFD into two independent sub problems, viz., assignment and routing, and solves them separately. The system has been implemented to a practical supply chain management system and provided decision supports for both vehicles routing and decision-making on depots distributing. The simulation results have shown the feasibility and effectiveness of the system.","PeriodicalId":294566,"journal":{"name":"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A Decision Support System for Supply Chain Management Based on PSO and GIS\",\"authors\":\"Jianjun Lei, Jun Yu Li\",\"doi\":\"10.1109/CASE.2009.55\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A decision support system to solve the multi-depot vehicle routing problems with fixed distribution of vehicles (MDVRPFD) is introduced. In the system, the data of the customers, the suppliers, and the topologies of the roads are stored and managed by the geographic information system (GIS), and a modified genetic particle swarm optimization method (MGPSO) is employed to provide the routings of the vehicles. In the MPSO, the two-stage approach is employed which decomposes the MDVRPFD into two independent sub problems, viz., assignment and routing, and solves them separately. The system has been implemented to a practical supply chain management system and provided decision supports for both vehicles routing and decision-making on depots distributing. The simulation results have shown the feasibility and effectiveness of the system.\",\"PeriodicalId\":294566,\"journal\":{\"name\":\"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CASE.2009.55\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IITA International Conference on Control, Automation and Systems Engineering (case 2009)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CASE.2009.55","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Decision Support System for Supply Chain Management Based on PSO and GIS
A decision support system to solve the multi-depot vehicle routing problems with fixed distribution of vehicles (MDVRPFD) is introduced. In the system, the data of the customers, the suppliers, and the topologies of the roads are stored and managed by the geographic information system (GIS), and a modified genetic particle swarm optimization method (MGPSO) is employed to provide the routings of the vehicles. In the MPSO, the two-stage approach is employed which decomposes the MDVRPFD into two independent sub problems, viz., assignment and routing, and solves them separately. The system has been implemented to a practical supply chain management system and provided decision supports for both vehicles routing and decision-making on depots distributing. The simulation results have shown the feasibility and effectiveness of the system.
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