An experimental analysis of multi-attribute auctions
Decision Support Systems
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The Future of Emarkets: Multi-Dimensional Market Mechanisms
Quantity and Due Date Quoting Available to Promise
Information Systems Frontiers
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CIA '98 Proceedings of the Second International Workshop on Cooperative Information Agents II, Learning, Mobility and Electronic Commerce for Information Discovery on the Internet
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Management Science
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Decision Support Systems
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KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
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Available-to-promise based bidding decision by fuzzy mathematical programming and genetic algorithm
Computers and Industrial Engineering
Computers and Industrial Engineering
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Expert Systems with Applications: An International Journal
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Electronic Commerce Research and Applications
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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.