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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/50449


    Title: Solving a sealed-bid reverse auction problem by multiple-criterion decision-making methods
    Authors: 鄭啟斌;Cheng, Chi-bin
    Contributors: 淡江大學資訊管理學系
    Keywords: Reverse auction;Electronic procurement;Available to promise inventory;Fuzzy multiple-objective programming;Multiple-attribute decision making;Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)
    Date: 2008-12
    Issue Date: 2010-08-09 17:53:23 (UTC+8)
    Publisher: Oxford: Pergamon
    Abstract: This study presents a model for solving the sealed-bid, multiple-issue reverse auction problem, using multiple-criterion decision-making approaches, such that the interests of both the buyer and the supplier are satisfied. On the supplier side, the bid construction process is formulated as a fuzzy multiple-objective programming problem, and is solved using an exhausted enumeration algorithm which adjusts the production plan in accordance with the buyer’s demand, based on the current master production schedule (MPS) and the available-to-promise (ATP) inventory. The use of the information of MPS and ATP enables the supplier to make accurate estimates of the production costs associated with specific delivery dates, and thus facilitates the construction of a bid which is both profitable and likely to secure the contract. On the buyer side, the winner determination process is treated as a multiple-attribute decision-making problem, and is solved using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The validity of the proposed approach is demonstrated via an illustrative example.
    Relation: Computers and Mathematics with Applications 56(12), pp.3261-6274
    DOI: 10.1016/j.camwa.2008.09.011
    Appears in Collections:[資訊管理學系暨研究所] 期刊論文

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