| Summary: | 碩士 === 國立虎尾科技大學 === 工業工程與管理研究所 === 95 === The prosperity of Internet-based electronic commerce has facilitated the development of electronic marketplace, providing an integrated and collaborative trading platform for buyers and sellers. Trading models in the cyber world has diversified with the evolution of e-Commerce and market competition. Among which, buyer-driven reverse auction has become one of the popular trading models in e-Commerce. The introduction of reverse auction drives the suppliers reducing their prices to win the bid, and hence forces them to improve their pricing techniques and cost management.
The present study aims to improve the efficiency of the reverse auction by an integrated model that optimizes both parties’ (i.e. buyer and seller) interests. Multiple-criterion-decision-making approaches are applied to solve the reverse auction problem. At the supplier side, the bidding process is formulated as a fuzzy multiple objective programming problem to assist the supplier determining its optimum offer; at the customer side, the selection of the best offers from suppliers is considered as a multiple attribute decision making problem and is solved by the TOPSIS method. The solution of the supplier’s fuzzy multiple objective programming problem is obtained by a heuristic algorithm. The principle of the algorithm is to adjust the production plan based on the information of current master production schedule and available to promise (ATP) inventory. The use of ATP not only can response to customer’s quotation quickly but also resolve the conflict between the sales and the production departments. The proposed approach is demonstrated by a well-designed example.
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