| Summary: | 碩士 === 國立臺北科技大學 === 工業工程與管理研究所 === 97 === Supplier selection is one of the most critical activities of purchasing management in a supply chain . It is because that the suppliers play an important role in achieving corporate competition. Supplier selection is a multiple criteria decision making problem which includes both qualitative and quantitative factors. Due to economic and market are changed rapidly, most of the information is imprecise for supplier selection problem. Fortunately, fuzzy set theory is one of the effectual tools for handing ambiguous. In this study, an integration of the fuzzy technique for order preference by similarity to ideal solution ( Fuzzy TOPSIS) and the multiple objective possibilistic linear programming ( MOPLP) technique is developed to account for tangible, intangible, quantitative and qualitative factors which are used to evaluate and to define the optimum order quantities to each supplier with price discount. Finally, an integrated of an interactive approach and the two phase approach are employed to solve the order allocation model which is composed of MOPLP methodology. According to our test example and the example of Ozgen et al. (2008), it is shown that an interactive two phase approach has good performance than the conventional two phase approach .
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