{"title":"不确定环境下制造商联合作战的正向/逆向集成物流网络优化模型","authors":"Xiaohui Qin","doi":"10.1109/MACE.2011.5988285","DOIUrl":null,"url":null,"abstract":"An optimization model of integrated forward/reverse logistics network for manufacturer of jiont operations is proposed under uncertain environment, the model can solve location selection of distribution center, recycling center and recycling processing center, and flow allocation between facilities. Then a steps for solving the model was given by transforming the model to certain model. Since such network design problems belong to a class of NP hard problems, a genetic algorithm is presented. Finally the validity of the model was demonstrated by a numerical example.","PeriodicalId":6400,"journal":{"name":"2011 Second International Conference on Mechanic Automation and Control Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An optimization model of integrated forward/reverse logistics network for manufacturer of Joint operations under uncertain environment\",\"authors\":\"Xiaohui Qin\",\"doi\":\"10.1109/MACE.2011.5988285\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An optimization model of integrated forward/reverse logistics network for manufacturer of jiont operations is proposed under uncertain environment, the model can solve location selection of distribution center, recycling center and recycling processing center, and flow allocation between facilities. Then a steps for solving the model was given by transforming the model to certain model. Since such network design problems belong to a class of NP hard problems, a genetic algorithm is presented. Finally the validity of the model was demonstrated by a numerical example.\",\"PeriodicalId\":6400,\"journal\":{\"name\":\"2011 Second International Conference on Mechanic Automation and Control Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Second International Conference on Mechanic Automation and Control Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MACE.2011.5988285\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Second International Conference on Mechanic Automation and Control Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MACE.2011.5988285","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An optimization model of integrated forward/reverse logistics network for manufacturer of Joint operations under uncertain environment
An optimization model of integrated forward/reverse logistics network for manufacturer of jiont operations is proposed under uncertain environment, the model can solve location selection of distribution center, recycling center and recycling processing center, and flow allocation between facilities. Then a steps for solving the model was given by transforming the model to certain model. Since such network design problems belong to a class of NP hard problems, a genetic algorithm is presented. Finally the validity of the model was demonstrated by a numerical example.
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