{"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}
引用次数: 0
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.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
