{"title":"Fuzzy multiobjective linear-programming-based justification of advanced manufacturing systems","authors":"C. Kahraman, Z. Ulukan, E. Tolga","doi":"10.1109/IEMC.1996.547820","DOIUrl":null,"url":null,"abstract":"Many of the objectives of advanced manufacturing technologies (AMTs) lie in strategic areas such as better quality, flexibility, and shorter lead times. The authors propose fuzzy multiobjective linear programming which considers intangible benefits in AMTs and expands the constraints by adding tolerances. The transition from vagueness to quantification is performed by applying fuzzy set theory. The approach also considers vagueness of the objective functions by using membership functions. The main advantage of fuzzy LP, compared to the unfuzzy problem formulation, is the fact that the decision maker is not forced into a precise formulation because of mathematical reasons. A case example is given in the paper.","PeriodicalId":138196,"journal":{"name":"IEMC 96 Proceedings. International Conference on Engineering and Technology Management. Managing Virtual Enterprises: A Convergence of Communications, Computing, and Energy Technologies","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEMC 96 Proceedings. International Conference on Engineering and Technology Management. Managing Virtual Enterprises: A Convergence of Communications, Computing, and Energy Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMC.1996.547820","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Many of the objectives of advanced manufacturing technologies (AMTs) lie in strategic areas such as better quality, flexibility, and shorter lead times. The authors propose fuzzy multiobjective linear programming which considers intangible benefits in AMTs and expands the constraints by adding tolerances. The transition from vagueness to quantification is performed by applying fuzzy set theory. The approach also considers vagueness of the objective functions by using membership functions. The main advantage of fuzzy LP, compared to the unfuzzy problem formulation, is the fact that the decision maker is not forced into a precise formulation because of mathematical reasons. A case example is given in the paper.