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Reverse auction with buyer-supplier negotiation using bi-level distributed programming

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  • Cheng, Chi-Bin
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    Abstract

    This study presents a framework for solving a sealed-bid, multi-issue, and multi-sourcing reverse auction problem in which negotiation takes place between the buyer and the suppliers during the bidding process. The problem is formulated as a bi-level distributed programming model in which the buyer is the upper level decision maker, while suppliers at the lower level make decisions independent of each other. The negotiation process between the buyer and the suppliers is facilitated via the iterative exchange of decision information between the upper and lower levels of the model. The outcome of the sealed-bid auction is determined using an algorithm designed to establish the optimum quantity allocation and delivery time at the upper level and the corresponding optimized production plans at the lower level. The feasibility of the proposed approach is demonstrated via an illustrative example.

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    Bibliographic Info

    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 211 (2011)
    Issue (Month): 3 (June)
    Pages: 601-611

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    Handle: RePEc:eee:ejores:v:211:y:2011:i:3:p:601-611

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    Web page: http://www.elsevier.com/locate/eor

    Related research

    Keywords: Auctions/bidding Available to promise inventory Bi-level distributed programming Negotiation Fuzzy mathematical programming;

    References

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    1. Cakravastia, Andi & Toha, Isa S. & Nakamura, Nobuto, 2002. "A two-stage model for the design of supply chain networks," International Journal of Production Economics, Elsevier, vol. 80(3), pages 231-248, December.
    2. Kingsman, Brian & Hendry, Linda & Mercer, Alan & de Souza, Antonio, 1996. "Responding to customer enquiries in make-to-order companies Problems and solutions," International Journal of Production Economics, Elsevier, vol. 46(1), pages 219-231, December.
    3. Teich, Jeffrey E. & Wallenius, Hannele & Wallenius, Jyrki & Koppius, Otto R., 2004. "Emerging multiple issue e-auctions," European Journal of Operational Research, Elsevier, vol. 159(1), pages 1-16, November.
    4. Bichler, Martin & Kalagnanam, Jayant, 2005. "Configurable offers and winner determination in multi-attribute auctions," European Journal of Operational Research, Elsevier, vol. 160(2), pages 380-394, January.
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    6. Damian R. Beil & Lawrence M. Wein, 2003. "An Inverse-Optimization-Based Auction Mechanism to Support a Multiattribute RFQ Process," Management Science, INFORMS, vol. 49(11), pages 1529-1545, November.
    7. Teich, Jeffrey E. & Wallenius, Hannele & Wallenius, Jyrki & Zaitsev, Alexander, 2006. "A multi-attribute e-auction mechanism for procurement: Theoretical foundations," European Journal of Operational Research, Elsevier, vol. 175(1), pages 90-100, November.
    8. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages B141-B164, December.
    9. Easton, Fred F. & Moodie, Douglas R., 1999. "Pricing and lead time decisions for make-to-order firms with contingent orders," European Journal of Operational Research, Elsevier, vol. 116(2), pages 305-318, July.
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