IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v41y2011i3p278-288.html
   My bibliography  Save this article

A Mathematical Programming Approach to Applicant Selection for a Degree Program Based on Affirmative Action

Author

Listed:
  • Guillermo Durán

    (Departmento de Ingeniería Industrial, Universidad de Chile, 8370439 Santiago, Chile; Departmento de Matemática, FCEN, Universidad de Buenos Aires, Argentina; CONICET, Argentina)

  • Rodrigo Wolf-Yadlin

    (Departmento de Ingeniería Industrial, Universidad de Chile, 8370439 Santiago, Chile)

Abstract

In 2007, the Department of Industrial Engineering at the University of Chile allied with a major Chilean mining company to inaugurate a master's degree program in globalization management. The program's objective is to address the challenges Chile faces in its development of human and social capital by training young professionals. This paper describes the use of mathematical programming models in the program's applicant selection procedure for the first three entering classes, subject to equity criteria on gender, regional origin, and socioeconomic background. The models generated robust solutions in minutes, an achievement practically impossible using manual methods. The application's success demonstrates how mathematical programming and operations research can contribute to social policy.

Suggested Citation

  • Guillermo Durán & Rodrigo Wolf-Yadlin, 2011. "A Mathematical Programming Approach to Applicant Selection for a Degree Program Based on Affirmative Action," Interfaces, INFORMS, vol. 41(3), pages 278-288, June.
    • Handle: RePEc:inm:orinte:v:41:y:2011:i:3:p:278-288
    DOI: 10.1287/inte.1100.0542
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.1100.0542
    Download Restriction: no
    File URL: https://libkey.io/10.1287/inte.1100.0542?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Rafael Epstein & Lysette Henríquez & Jaime Catalán & Gabriel Y. Weintraub & Cristián Martínez, 2002. "A Combinational Auction Improves School Meals in Chile," Interfaces, INFORMS, vol. 32(6), pages 1-14, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Karsu, Özlem & Morton, Alec, 2015. "Inequity averse optimization in operational research," European Journal of Operational Research, Elsevier, vol. 245(2), pages 343-359.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sang Won Kim & Marcelo Olivares & Gabriel Y. Weintraub, 2014. "Measuring the Performance of Large-Scale Combinatorial Auctions: A Structural Estimation Approach," Management Science, INFORMS, vol. 60(5), pages 1180-1201, May.
    2. Biswal, Arun Kumar & Jenamani, Mamata & Kumar, Sri Krishna, 2018. "Warehouse efficiency improvement using RFID in a humanitarian supply chain: Implications for Indian food security system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 205-224.
    3. Chernomaz, Kirill & Levin, Dan, 2012. "Efficiency and synergy in a multi-unit auction with and without package bidding: An experimental study," Games and Economic Behavior, Elsevier, vol. 76(2), pages 611-635.
    4. Ronald M. Harstad & Aleksandar Saša Pekeč, 2008. "Relevance to Practice and Auction Theory: A Memorial Essay for Michael Rothkopf," Interfaces, INFORMS, vol. 38(5), pages 367-380, October.
    5. Kazumori, Eiichiro & Belch, Yaakov, 2019. "t-Tree: The Tokyo toolbox for large-scale combinatorial auction experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 24(C).
    6. Dries R. Goossens & Rudolf Müller & Frits C. R. Spieksma, 2010. "Algorithms for Recognizing Economic Properties in Matrix Bid Combinatorial Auctions," INFORMS Journal on Computing, INFORMS, vol. 22(3), pages 339-352, August.
    7. Avenali, Alessandro, 2009. "Exploring the VCG mechanism in combinatorial auctions: The threshold revenue and the threshold-price rule," European Journal of Operational Research, Elsevier, vol. 199(1), pages 262-275, November.
    8. Jawad Abrache & Teodor Crainic & Michel Gendreau & Monia Rekik, 2007. "Combinatorial auctions," Annals of Operations Research, Springer, vol. 153(1), pages 131-164, September.
    9. Dries R. Goossens & Sander Onderstal & Jan Pijnacker & Frits C. R. Spieksma, 2014. "Solids: A Combinatorial Auction for Real Estate," Interfaces, INFORMS, vol. 44(4), pages 351-363, August.
    10. Aleksandar Pekev{c} & Michael H. Rothkopf, 2003. "Combinatorial Auction Design," Management Science, INFORMS, vol. 49(11), pages 1485-1503, November.
    11. 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.
    12. Md Hafizul Islam & Julie Simmons Ivy, 2022. "Modeling the role of efficiency for the equitable and effective distribution of donated food," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(2), pages 485-534, June.
    13. Guillermo Durán & Rafael Epstein & Cristian Martinez & Gonzalo Andres Zamorano, 2011. "Quantitative Methods for a New Configuration of Territorial Units in a Chilean Government Agency Tender Process," Interfaces, INFORMS, vol. 41(3), pages 263-277, June.
    14. Ignacio Palacios-Huerta & David C. Parkes & Richard Steinberg, 2024. "Combinatorial Auctions in Practice," Journal of Economic Literature, American Economic Association, vol. 62(2), pages 517-553, June.
    15. Gediminas Adomavicius & Shawn P. Curley & Alok Gupta & Pallab Sanyal, 2012. "Effect of Information Feedback on Bidder Behavior in Continuous Combinatorial Auctions," Management Science, INFORMS, vol. 58(4), pages 811-830, April.
    16. Ott, Marion, 2019. "Simple Bayesian and Ex-Post Equilibria in Combinatorial Auctions," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203616, Verein für Socialpolitik / German Economic Association.
    17. John Turner & Ben Peterson & Soo-Haeng Cho & Sunder Kekre & Alan Scheller-Wolf, 2012. "A Large US Retailer Selects Transportation Carriers Under Diesel Price Uncertainty," Interfaces, INFORMS, vol. 42(4), pages 365-379, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orinte:v:41:y:2011:i:3:p:278-288. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.