| Summary: | 碩士 === 國立臺灣科技大學 === 工業管理系 === 93 === A company must purchase a lot of diverse components and raw materials from different upstream suppliers to manufacture or assemble its products. Thus, the supplier selection problem which is the responsibility of the purchasing department becomes a critical issue in this situation. However, it is not only a very complicated and perplexing task to select outstanding suppliers for decision makers of strategic purchasing, but also it arises rapidly. For this reason, the decision makers of strategic purchasing greatly require an efficient, valid and fair tool to assist them in selecting appropriate suppliers forthwith.
A decision support system is developed to address foregoing demand. This system combines fuzzy set theory and group decision with the AHP to decrease the influence of decision makers’ subjective preferences and control the uncertain and imprecise variations during evaluation process. In order to measure tangible criteria more easily, we improve the method of Cheng et al. (1999b) which is to establish individual membership function for each tangible criterion. Besides, the intangible criteria and criteria weights are determined by group decision which can integrate all decision makers’ subjective opinions. The degree of confidence and risk index are also joined, so that decision makers can adjust them to match real context. Finally, a case of supplier selection about USB cables is simulated by our approach. This system helps company L select two preferred suppliers from candidate suppliers.
|
|---|
