{"title":"A new Bi-level programming model for uncertain supply chain problems","authors":"Hanshi Shentu, Liuyang Yuan, Weibin Zhang","doi":"10.1109/IMCEC51613.2021.9482174","DOIUrl":null,"url":null,"abstract":"This paper focuses on a two-level supply chain coordination problem consisting of a single supplier and multiple manufacturers under an uncertain environment. Firstly, a new bi-level programming model is proposed. Secondly, an innovative two-stage stochastic planning is combined into the lower-level manufacturer model, and a Progressive Hedging Algorithm (PHA) is designed to solve it. Then, the solved solution is substituted into the upper-level model to find the optimal solution of the bi-level programming. Finally, numerical experiments are used to verify the feasibility of the model and the algorithm.","PeriodicalId":240400,"journal":{"name":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","volume":"190 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMCEC51613.2021.9482174","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
This paper focuses on a two-level supply chain coordination problem consisting of a single supplier and multiple manufacturers under an uncertain environment. Firstly, a new bi-level programming model is proposed. Secondly, an innovative two-stage stochastic planning is combined into the lower-level manufacturer model, and a Progressive Hedging Algorithm (PHA) is designed to solve it. Then, the solved solution is substituted into the upper-level model to find the optimal solution of the bi-level programming. Finally, numerical experiments are used to verify the feasibility of the model and the algorithm.