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Eli Lilly and Company Uses Integer Programming to Form Volunteer Teams in Impoverished Countries

Author

Listed:
  • Stephen Mahar

    (Department of Management and Operations, Villanova School of Business, Villanova University, Villanova, Pennsylvania 19085)

  • Wayne Winston

    (Department of Operations and Decision Technologies, Kelley School of Business, Indiana University, Bloomington, Indiana 47405)

  • P. Daniel Wright

    (Department of Management and Operations, Villanova School of Business, Villanova University, Villanova, Pennsylvania 19085)

Abstract

Each year, Eli Lilly and Company (Lilly) offers its worldwide employees the opportunity to participate in paid volunteer teams serving communities in impoverished countries. The company’s Connecting Hearts Abroad service program gives employees a unique opportunity to take part in service trips aimed at improving global health. Lilly annually offers about 23 trips, enabling employees to serve some of the world’s most resource-constrained regions where people lack basic resources or access to healthcare. A selection committee at Lilly manually forms volunteer teams from a large pool of applicants. Unfortunately, the manual selection process is time consuming and often fails to meet employee preference or adequately represent some applicant groups. This paper describes how we developed a mathematical programming model to improve Lilly’s process of volunteer selection. We incorporated the model into a decision support tool that assigns applicants to volunteer assignments and maximizes the chosen volunteers’ preferences under constraints that help ensure fair team compositions. Running the model against the prior year’s applicant data pool took less than two minutes to configure teams such that all volunteers received their first-choice assignment. The automated decision support system also provides a more consistent method of configuring teams that appears fair to the applicants.

Suggested Citation

  • Stephen Mahar & Wayne Winston & P. Daniel Wright, 2013. "Eli Lilly and Company Uses Integer Programming to Form Volunteer Teams in Impoverished Countries," Interfaces, INFORMS, vol. 43(3), pages 268-284, May-June.
  • Handle: RePEc:inm:orinte:v:43:y:2013:i:3:p:268-284
    DOI: 10.1287/inte.2013.0679
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    References listed on IDEAS

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    1. K R Baker & S G Powell, 2002. "Methods for assigning students to groups: a study of alternative objective functions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(4), pages 397-404, April.
    2. Gary R. Reeves & Edgar P. Hickman, 1992. "Assigning MBA Students to Field Study Project Teams: A Multicriteria Approach," Interfaces, INFORMS, vol. 22(5), pages 52-58, October.
    3. Rex Cutshall & Srinagesh Gavirneni & Kenneth Schultz, 2007. "Indiana University’s Kelley School of Business Uses Integer Programming to Form Equitable, Cohesive Student Teams," Interfaces, INFORMS, vol. 37(3), pages 265-276, June.
    4. Leo Lopes & Meredith Aronson & Gary Carstensen & Cole Smith, 2008. "Optimization Support for Senior Design Project Assignments," Interfaces, INFORMS, vol. 38(6), pages 448-464, December.
    5. Dmitry Krass & Anton Ovchinnikov, 2006. "The University of Toronto’s Rotman School of Management Uses Management Science to Create MBA Study Groups," Interfaces, INFORMS, vol. 36(2), pages 126-137, April.
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    Cited by:

    1. Escallon-Barrios, Mariana & Noham, Reut & Smilowitz, Karen, 2024. "Dual mode scheduling in volunteer management," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).

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