Application of fuzzy multi-objective linear programming on outsourcing cost-effective analysis with quantity and quality factors

• Main Authors: Lin, Chun-Hung, 林俊宏
• Other Authors: Wang, Earl-Juei
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/31366523544146603191

碩士 === 國立屏東科技大學 === 工業管理系所 === 96 === As the production environment shifted to the trend of multi-types with small-lot, shorten product life cycle, and just in time to meet customer needs, a production system design must embodies enough flexibilities to maintain its competitive advantages. A production system delineated to have such tasks with high-ratio outsourcing activities may be defined as assemble to production pattern. Factors usually considered in a flexible production system are quality, cost, quantity, service differences, and flexible supply capability at just in time production viewpoint. Regarding to conduct an assemble to production pattern, evaluation criteria in terms of cost, due date, quantity, and quality with their interactions for vendors are critical in reality. Regarding with the factors of cost, quality, and quantity, This study constructs a fuzzy multi-objective linear programming model (FMOLP) on vendor selection for assemble to production patterns. By using the fuzziness with decision categories, an membersihip function to its specific goal with their interactions can simultaneously be solved, An auto-bicycle firm is used to implement the proposed model through various scenarios and the results bolster the model applicability for decision makers.