{"title":"利用模拟退火最小化加工和装配操作的完成时间","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":"{\"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}","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}
Minimizing Completion Time of Processing and Assembly Operations Using Simulated Annealing
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.