{"title":"串行供应链的最优控制策略","authors":"Min Huang, Xingwei Wang, Jianqin Ding","doi":"10.5772/6650","DOIUrl":null,"url":null,"abstract":"The determination of the optimal control strategy is one of the key factors for the success of supply chain management.Therefore,the control strategy of serial supply chain is studied.First,the optimal model of the serial supply chain inventory control is proposed based on the nonlinear integer programming model combined with the general push/pull control model.Then,the optimal control strategy is obtained by integrating the genetic algorithm and simulation.Case study shows the effectiveness of the method.","PeriodicalId":34957,"journal":{"name":"控制与决策","volume":"91 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimal Control Strategy for Serial Supply Chain\",\"authors\":\"Min Huang, Xingwei Wang, Jianqin Ding\",\"doi\":\"10.5772/6650\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The determination of the optimal control strategy is one of the key factors for the success of supply chain management.Therefore,the control strategy of serial supply chain is studied.First,the optimal model of the serial supply chain inventory control is proposed based on the nonlinear integer programming model combined with the general push/pull control model.Then,the optimal control strategy is obtained by integrating the genetic algorithm and simulation.Case study shows the effectiveness of the method.\",\"PeriodicalId\":34957,\"journal\":{\"name\":\"控制与决策\",\"volume\":\"91 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"控制与决策\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.5772/6650\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"控制与决策","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.5772/6650","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
The determination of the optimal control strategy is one of the key factors for the success of supply chain management.Therefore,the control strategy of serial supply chain is studied.First,the optimal model of the serial supply chain inventory control is proposed based on the nonlinear integer programming model combined with the general push/pull control model.Then,the optimal control strategy is obtained by integrating the genetic algorithm and simulation.Case study shows the effectiveness of the method.
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