Ada E.Kazançoğlu, YiğitSagnak M.2023-06-162023-06-162014https://hdl.handle.net/20.500.14365/3995Computer and Industrial Engineering;et al.;Gaziantep University;Istanbul Commercial University;Journal of Intelligent Manufacturing Systems;Sakarya University, Department of Industrial EngineeringJoint International Symposium on "The Social Impacts of Developments in Information, Manufacturing and Service Systems" 44th International Conference on Computers and Industrial Engineering, CIE 2014 and 9th International Symposium on Intelligent Manufacturing and Service Systems, IMSS 2014 -- 14 October 2014 through 16 October 2014 -- 110500Globalization forces firms to adapt to changing market conditions and increased uncertainty. Shorter product life cycles, changing and increased customer expectations, and technological developments have specially suppressed manufacturing firms. In order to increase firms' performance and efficiency, machine and equipment selection is one of the most important decisions. In this study, the machine selection problem is solved by integrated fuzzy TOPSIS and goal programming techniques. The aim of the study is to provide managers meaningful support about machine selection problem. The criteria for machine selection are determined by literature review and managers' judgments. In the proposed method, the criteria weights are determined by fuzzy TOPSIS, and then the final selection of alternatives are made by goal programming.eninfo:eu-repo/semantics/closedAccessFuzzy topsisGoal programmingMachine selectionLife cycleManagersManufactureMultiobjective optimizationCustomer expectationFUZZY TOPSISGoal programmingGoal programming techniqueMachine selectionManufacturing firmsProduct life cyclesTechnological developmentLinear programmingConference Object2-s2.0-84923884289