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The empirical analysis of the N-bilateral optimized combinatorial auction model

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  • Choi, Jin Ho
  • Chang, Yong Sik
  • Han, Ingoo

Abstract

This study proposes a new and highly efficient dynamic combinatorial auction mechanism--the N-bilateral optimized combinatorial auction (N-BOCA). N-BOCA is a flexible iterative combinatorial auction model that offers more optimized trading for multiple suppliers and purchasers in the supply chain than one-sided combinatorial auction. We design the N-BOCA model from the perspectives of market architecture, trading rules, and decision strategy for winner determination, the decision strategy for winner determination needs flexible optimization modeling capability. Thus rule-based reasoning was applied for reflecting the flexible decision strategies. We also show the viability of N-BOCA through Paired Samples T-test experimentation. It shows that N-BOCA yields higher purchase efficiency and effectiveness than the one-auctioneer to multi-bidders (1-to-N) combinatorial auction mechanism.

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  • Choi, Jin Ho & Chang, Yong Sik & Han, Ingoo, 2009. "The empirical analysis of the N-bilateral optimized combinatorial auction model," Omega, Elsevier, vol. 37(2), pages 482-493, April.
    • Handle: RePEc:eee:jomega:v:37:y:2009:i:2:p:482-493
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    2. Jain, Vipul & Panchal, Gajanan B. & Kumar, Sameer, 2014. "Universal supplier selection via multi-dimensional auction mechanisms for two-way competition in oligopoly market of supply chain," Omega, Elsevier, vol. 47(C), pages 127-137.

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