{"title":"具有备选路由的元胞可重构制造系统的元胞形成","authors":"Siqi Guo, Feng Cui, Na Geng, Zhibin Jiang","doi":"10.1109/CASE49439.2021.9551475","DOIUrl":null,"url":null,"abstract":"Cellular reconfigurable manufacturing systems (CRMS) are designed to deal with dynamic demand. This paper tries to optimize cell formation decision in CRMSs with alternative routing. A mixed integer nonlinear programming model is developed to simultaneously optimize cell formation, equipment configuration, and product mix plan. The objective is to maximize profit. The linearization methods are proposed and then the model is solved by Gurobi. Numerical experiment and sensitive analysis are conducted to show the efficiency and effectiveness of the proposed approach.","PeriodicalId":232083,"journal":{"name":"2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cell Formation for Cellular Reconfigurable Manufacturing Systems with Alternative Routing\",\"authors\":\"Siqi Guo, Feng Cui, Na Geng, Zhibin Jiang\",\"doi\":\"10.1109/CASE49439.2021.9551475\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cellular reconfigurable manufacturing systems (CRMS) are designed to deal with dynamic demand. This paper tries to optimize cell formation decision in CRMSs with alternative routing. A mixed integer nonlinear programming model is developed to simultaneously optimize cell formation, equipment configuration, and product mix plan. The objective is to maximize profit. The linearization methods are proposed and then the model is solved by Gurobi. Numerical experiment and sensitive analysis are conducted to show the efficiency and effectiveness of the proposed approach.\",\"PeriodicalId\":232083,\"journal\":{\"name\":\"2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)\",\"volume\":\"98 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CASE49439.2021.9551475\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CASE49439.2021.9551475","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cell Formation for Cellular Reconfigurable Manufacturing Systems with Alternative Routing
Cellular reconfigurable manufacturing systems (CRMS) are designed to deal with dynamic demand. This paper tries to optimize cell formation decision in CRMSs with alternative routing. A mixed integer nonlinear programming model is developed to simultaneously optimize cell formation, equipment configuration, and product mix plan. The objective is to maximize profit. The linearization methods are proposed and then the model is solved by Gurobi. Numerical experiment and sensitive analysis are conducted to show the efficiency and effectiveness of the proposed approach.