{"title":"Product Portfolio Decision-making Method Based on Multiple Bottlenecks","authors":"Lipeng Wang, Chunqi Li","doi":"10.2991/aebmr.k.210803.055","DOIUrl":null,"url":null,"abstract":"Determining the appropriate product mix solution is one of the important production system decisions for manufacturing companies. Based on the traditional method of identifying bottlenecks in the theory of constraints, this paper proposes a heuristic method that considers all constraints simultaneously and assigns weights to all constraints in five steps to address the infeasibility of the traditional theory of constraints in product mix decisions under multiple resource constraints. The paper also illustrates the feasibility, simplicity and ease of use of the new method through a simulation example.","PeriodicalId":113468,"journal":{"name":"Proceedings of the 1st International Symposium on Innovative Management and Economics (ISIME 2021)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1st International Symposium on Innovative Management and Economics (ISIME 2021)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/aebmr.k.210803.055","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
Determining the appropriate product mix solution is one of the important production system decisions for manufacturing companies. Based on the traditional method of identifying bottlenecks in the theory of constraints, this paper proposes a heuristic method that considers all constraints simultaneously and assigns weights to all constraints in five steps to address the infeasibility of the traditional theory of constraints in product mix decisions under multiple resource constraints. The paper also illustrates the feasibility, simplicity and ease of use of the new method through a simulation example.