Skip to main content
Log in

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

  • S.I. : CLAIO 2014
  • Published:
Annals of Operations Research Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Abrache, J., Crainic, T. G., Gendreau, M., & Rekik, M. (2007). Combinatorial auctions. Annals of Operations Research, 153(1), 131–164.

    Article  Google Scholar 

  • Aparicio, J., Ferrando, J. C., Meca, A., & Sancho, J. (2008). Strategic bidding in continuous electricity auctions: An application to the Spanish electricity market. Annals of Operations Research, 158(1), 229–241.

    Article  Google Scholar 

  • Ausubel, L. M., & Milgrom, P. R. (2002). Ascending auctions with package bidding. Advances in Theoretical Economics, 1(1), 1–42.

    Article  Google Scholar 

  • Campo, S., Perrigne, I., & Vuong, Q. (2003). Asymmetry in first-price auctions with affiliated private values. Journal of Applied Econometrics, 18(2), 179–207.

    Article  Google Scholar 

  • Cantillon, E., & Pesendorfer, M. (2013). Combination bidding in multi-unit auctions. The London School of Economics and Political Science: London, UK. http://eprints.lse.ac.uk/54289/.

  • Catalán, J., Epstein, R., Guajardo, M., Yung, D., & Martínez, C. (2009). Solving multiple scenarios in a combinatorial auction. Computers & Operations Research, 36(10), 2752–2758.

    Article  Google Scholar 

  • Chernomaz, K., & Levin, D. (2012). Efficiency and synergy in a multi-unit auction with and without package bidding: An experimental study. Games and Economic Behavior, 76(2), 611–635.

    Article  Google Scholar 

  • Coatney, K. T., Shaffer, S. L., & Menkhaus, D. J. (2012). Auction prices, market share, and a common agent. Journal of Economic Behavior & Organization, 81(1), 61–73.

    Article  Google Scholar 

  • Cramton, P., Shoham, Y., & Steinberg, R. (2006). Combinatorial auctions. Cambridge: MIT Press.

    Google Scholar 

  • Davenport, A. J., & Kalagnanam, J. R. (2002). Price negotiations for procurement of direct inputs. Mathematics of the Internet: Auctions and Markets, 127, 27–43.

    Article  Google Scholar 

  • Demange, G., Gale, D., & Sotomayor, M. (1986). Multi-item auctions. The Journal of Political Economy, 94(4), 863–872.

    Article  Google Scholar 

  • Durán, G., Epstein, R., Martínez, C., & Zamorano, G. A. (2011). Quantitative methods for a new configuration of territorial units in a Chilean government agency tender process. Interfaces, 41(3), 263–277.

    Article  Google Scholar 

  • Epstein, R., Henríquez, L., Catalán, J., Weintraub, G. Y., & Martínez, C. (2002). A combinational auction improves school meals in Chile. Interfaces, 32(6), 1–14.

    Article  Google Scholar 

  • Flambard, V., & Perrigne, I. (2006). Asymmetry in procurement auctions: Evidence from snow removal contracts. The Economic Journal, 116(514), 1014–1036.

    Article  Google Scholar 

  • Glaister, S., & Beesley, M. (1991). Bidding for tendered bus routes in London. Transportation Planning and Technology, 15(2–4), 349–366.

    Article  Google Scholar 

  • Hohner, G., Rich, J., Ng, E., Reid, G., Davenport, A. J., Kalagnanam, J. R., et al. (2003). Combinatorial and quantity-discount procurement auctions benefit Mars, Incorporated and its suppliers. Interfaces, 33(1), 23–35.

    Article  Google Scholar 

  • Hopcroft, J. E., & Ullman, J. D. (1973). Set merging algorithms. SIAM Journal on Computing, 2(4), 294–303.

    Article  Google Scholar 

  • Hubbard, T. P., Li, T., & Paarsch, H. J. (2012). Semiparametric estimation in models of first-price, sealed-bid auctions with affiliation. Journal of Econometrics, 168(1), 4–16.

    Article  Google Scholar 

  • Hubbard, T. P., & Paarsch, H. J. (2014). Chapter 2 - On the numerical solution of equilibria in auction models with asymmetries within the private-values paradigm. In K. Schmedders & K. L. Judd (Eds.), Handbook of computational economics (Vol. 3, pp. 37–115). North-Holland: Elsevier.

    Chapter  Google Scholar 

  • Jeroslow, R. G. (1974). Trivial integer programs unsolvable by branch-and-bound. Mathematical Programming, 6(1), 105–109.

    Article  Google Scholar 

  • Jofre-Bonet, M., & Pesendorfer, M. (2000). Bidding behavior in a repeated procurement auction: A summary. European Economic Review, 44(4), 1006–1020.

    Article  Google Scholar 

  • Kameshwaran, S., Narahari, Y., Rosa, C. H., Kulkarni, D. M., & Tew, J. D. (2007). Multiattribute electronic procurement using goal programming. European Journal of Operational Research, 179(2), 518–536.

    Article  Google Scholar 

  • Kaufman, L., & Rouseeuuw, P. (2005). Finding groups in data: An Introduction to cluster Analysis. Wiley Series in Probability and Statistics. Hoboken: Wiley.

  • Kennedy, D. (1995). London bus tendering: An overview. Transport Reviews, 15(3), 253–264.

    Article  Google Scholar 

  • Klemperer, P. (2004). Auctions: Theory and practice. Princeton: Princeton University Press.

    Google Scholar 

  • Kwasnica, A. M., & Sherstyuk, K. (2013). Multiunit auctions. Journal of economic surveys, 27(3), 461–490.

    Article  Google Scholar 

  • Li, T., Perrigne, I., & Vuong, Q. (2002). Structural estimation of the affiliated private value auction model. RAND Journal of Economics, 33(2), 171–193.

  • Lloyd, S. P. (1982). Least squares quantization in PCM. IEEE Transactions on information theory, 28(2), 129–137.

    Article  Google Scholar 

  • Margot, F. (2010). Symmetry in integer linear programming. In M. Jünger, Th. M. Liebling, D. Naddef, G. L. Nemhauser, W. R. Pulleyblank, G. Reinelt, G. Rinaldi & L. A. Wolsey (Eds.), 50 Years of Integer Programming 1958–2008 (pp. 647–686). Springer: Berlin, Heidelberg.

  • Maskin, E., & Riley, J. (2000). Asymmetric auctions. Review of Economic studies, 67, 413–438.

    Article  Google Scholar 

  • Méndez-Díaz, I., & Zabala, P. (2006). A branch-and-cut algorithm for graph coloring. Discrete Applied Mathematics, 154(5), 826–847.

    Article  Google Scholar 

  • Rey, P. A. (2004). Eliminating redundant solutions of some symmetric combinatorial integer programs. Electronic Notes in Discrete Mathematics, 18, 201–206.

    Article  Google Scholar 

  • Samuelson, W. (2014). Auctions: Advances in Theory and Practice. Game Theory and Business Applications, International Series in Operations Research & Management Science 194 (pp. 323–366). US: Springer.

  • Tarjan, R. E. (1975). Efficiency of a good but not linear set union algorithm. Journal of the ACM, 22(2), 215–225.

    Article  Google Scholar 

Download references

Acknowledgments

This study was partly financed by project nos. ANPCyT PICT-2012-1324, CONICET PIP 112-201201-00450CO, and UBACyT 20020130100808BA (Argentina), and by the Complex Engineering Systems Institute (Santiago, Chile). The third author was partly financed by FONDECYT project no. 1140787 (Chile). The fourth author was partly financed by FONDECYT project no. 1120475 (Chile). All of the authors are grateful to the Agencia en Sistemas de Información (ASI) of the city government of Buenos Aires, which organized the auction, and in particular to Julián Dunayevich and Eduardo Terada, both of whom were ASI officials during the implementation of this project, for their collaboration in making this study a reality. The authors would like to thank Nicolás Figueroa and Kenneth Rivkin for their interesting comments and to the anonymous referees whose suggestions helped to considerably improve the final version of this paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to G. Durán.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bonomo, F., Catalán, J., Durán, G. et al. An asymmetric multi-item auction with quantity discounts applied to Internet service procurement in Buenos Aires public schools. Ann Oper Res 258, 569–585 (2017). https://doi.org/10.1007/s10479-016-2164-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10479-016-2164-x

Keywords

Navigation