{"title":"Minimizing Completion Time of Processing and Assembly Operations Using Simulated Annealing","authors":"Shuangquan Hu, Jufeng Wang","doi":"10.1109/ICNSC52481.2021.9702253","DOIUrl":null,"url":null,"abstract":"This paper aims to study the problem of minimizing the completion time of a product in a cellular manufacturing system with multiple processing cells and a single assembly cell. Some types of parallel machines are involved in the processing cells, and parts are allowed to move among cells. A new model is developed for simultaneous processing and assembly. To find the optimal solution of this model, a structure of the solution is designed and a simulated annealing algorithm (SA) is developed. Numerical experiments show that our proposed model takes significantly less time than a model in which all parts are processed and then assembled.","PeriodicalId":129062,"journal":{"name":"2021 IEEE International Conference on Networking, Sensing and Control (ICNSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Networking, Sensing and Control (ICNSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNSC52481.2021.9702253","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 aims to study the problem of minimizing the completion time of a product in a cellular manufacturing system with multiple processing cells and a single assembly cell. Some types of parallel machines are involved in the processing cells, and parts are allowed to move among cells. A new model is developed for simultaneous processing and assembly. To find the optimal solution of this model, a structure of the solution is designed and a simulated annealing algorithm (SA) is developed. Numerical experiments show that our proposed model takes significantly less time than a model in which all parts are processed and then assembled.