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Multiple-round timber auction design and simulation

Author

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  • Farnia, Farnoush
  • Frayret, Jean-Marc
  • LeBel, Luc
  • Beaudry, Catherine

Abstract

This paper presents a multiple-round timber auction simulation, developed in order to study various configurations of auction design. In this study, simultaneous sequential timber auctions are modelled and analysed using agent-based simulation technology. As there are many individual items in the auction to be sold, the auction designer defines several rounds that are sequential at pre-defined intervals. At each round, the auction designer announces several simultaneous auctions. Since bidders are offered different items at each round, a mathematical linear programing model for selecting the best set of items to bid for is presented. Different bidding patterns are simulated and compared in various setup configurations. The most advanced of these strategies are adaptive and use agent-learning capability. The comparisons include the success rate of winning the auction and the winning price per m3. This study suggests an efficient bidding pattern for bidders to bid in order to achieve to their goal and increase their profit. Similarly, in order to increase profit, the auctioneer (i.e. the government) needs to control several auction parameters including the number of auctions per year, the lot size, the auction periodicity, and the number of bidders. This study also suggests parameters configurations that to maximise revenue for the auctioneer.

Suggested Citation

  • Farnia, Farnoush & Frayret, Jean-Marc & LeBel, Luc & Beaudry, Catherine, 2013. "Multiple-round timber auction design and simulation," International Journal of Production Economics, Elsevier, vol. 146(1), pages 129-141.
    • Handle: RePEc:eee:proeco:v:146:y:2013:i:1:p:129-141
    DOI: 10.1016/j.ijpe.2013.06.012
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    Cited by:

    1. Fuqiang Lu & Yanli Hu & Hualing Bi & Min Huang & Meng Zhao, 2018. "An Auction Approach for Cost and Schedule Management of IT Outsourcing Project," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(05), pages 1-23, October.
    2. Rönnqvist, Mikael & D'Amours, Sophie & Carle, Marc-André & Azouzi, Riadh, 2018. "Timber selling policies using bundle-based auction: The case of public forests in Québec," Forest Policy and Economics, Elsevier, vol. 96(C), pages 9-18.
    3. Sauvageau, Gabriel & Frayret, Jean-Marc, 2015. "Waste paper procurement optimization: An agent-based simulation approach," European Journal of Operational Research, Elsevier, vol. 242(3), pages 987-998.
    4. Farnia, Farnoush & Frayret, Jean-Marc & Beaudry, Catherine & Lebel, Luc, 2015. "Time-based combinatorial auction for timber allocation and delivery coordination," Forest Policy and Economics, Elsevier, vol. 50(C), pages 143-152.

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