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An asymmetric multi-item auction with quantity discounts applied to Internet service procurement in Buenos Aires public schools

Author

Listed:
  • F. Bonomo

    (UBA
    CONICET)

  • J. Catalán

    (Universidad de Chile)

  • G. Durán

    (CONICET
    UBA
    UBA
    Universidad de Chile)

  • R. Epstein

    (Universidad de Chile)

  • M. Guajardo

    (NHH Norwegian School of Economics)

  • A. Jawtuschenko

    (CONICET
    UBA)

  • J. Marenco

    (UBA
    Universidad Nacional de General Sarmiento)

Abstract

This article studies a multi-item auction characterized by asymmetric bidders and quantity discounts. We report a practical application of this type of auction in the procurement of Internet services to the 709 public schools of Buenos Aires. The asymmetry in this application is due to firms’ existing technology infrastructures, which affect their ability to provide the service in certain areas of the city. A single round first-price sealed-bid auction, it required each participating firm to bid a supply curve specifying a price on predetermined graduated quantity intervals and to identify the individual schools it would supply. The maximal intersections of the sets of schools each participant has bid on define regions we call competition units. A single unit price must be quoted for all schools supplied within the same quantity interval, so that firms cannot bid a high price where competition is weak and a lower one where it is strong. Quantity discounts are allowed so that the bids can reflect returns-to-scale of the suppliers and the auctioneer may benefit of awarding bundles of units instead of separate units. The winner determination problem in this auction poses a challenge to the auctioneer. We present an exponential formulation and a polynomial formulation for this problem, both based on integer linear programming. The polynomial formulation proves to find the optimal set of bids in a matter of seconds. Results of the real-world implementation are reported.

Suggested Citation

  • F. Bonomo & J. Catalán & G. Durán & R. Epstein & M. Guajardo & A. Jawtuschenko & J. Marenco, 2017. "An asymmetric multi-item auction with quantity discounts applied to Internet service procurement in Buenos Aires public schools," Annals of Operations Research, Springer, vol. 258(2), pages 569-585, November.
  • Handle: RePEc:spr:annopr:v:258:y:2017:i:2:d:10.1007_s10479-016-2164-x
    DOI: 10.1007/s10479-016-2164-x
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    References listed on IDEAS

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    1. Pesendorfer, Martin & Cantillon, Estelle, 2007. "Combination Bidding in Multi-Unit Auctions," CEPR Discussion Papers 6083, C.E.P.R. Discussion Papers.
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    7. V. Flambard & I. Perrigne, 2006. "Asymmetry in procurement auctions: some evidence from snow removal contracts," Post-Print hal-00323914, HAL.
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    Cited by:

    1. Shiying Chen & Zhenhuan Dong & Chunming Cao & Changjun Zheng, 2022. "Strategy and design of multi‐unit auction in grouped asymmetric setting," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(8), pages 3435-3453, December.
    2. Gediminas Adomavicius & Shawn P. Curley & Alok Gupta & Pallab Sanyal, 2020. "How Decision Complexity Affects Outcomes in Combinatorial Auctions," Production and Operations Management, Production and Operations Management Society, vol. 29(11), pages 2579-2600, November.
    3. Bo Chen & Emilios Galariotis & Lijun Ma & Zijia Wang & Zhaobo Zhu, 2023. "On disclosure of participation in innovation contests: a dominance result," Post-Print hal-04185528, HAL.
    4. Kursad Derinkuyu & Fehmi Tanrisever & Nermin Kurt & Gokhan Ceyhan, 2020. "Optimizing Day-Ahead Electricity Market Prices: Increasing the Total Surplus for Energy Exchange Istanbul," Manufacturing & Service Operations Management, INFORMS, vol. 22(4), pages 700-716, July.
    5. Bo Chen & Emilios Galariotis & Lijun Ma & Zijia Wang & Zhaobo Zhu, 2023. "On disclosure of participation in innovation contests: a dominance result," Annals of Operations Research, Springer, vol. 328(2), pages 1615-1629, September.

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