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Practice Summary: Optimal Student Group Reassignment at U.S. Naval Academy

Author

Listed:
  • Robert M. Curry

    (University of Arkansas, Fayetteville, Arkansas 72701)

  • Joseph Foraker

    (United States Naval Academy, Annapolis, Maryland 21402)

  • Gary Lazzaro

    (United States Naval Academy, Annapolis, Maryland 21402)

  • David M. Ruth

    (University of Austin, Austin, Texas 78746)

Abstract

The U.S. Naval Academy is composed of 30 companies of students. Each student has a merit score, and each company has an average merit score. Leadership desires to minimize the deviation in average merit scores by splitting each company into first-year and upper-class groups and reassigning first-year groups to new upper-class groups. We perform this reassignment using greedy and optimal approaches. The standard deviation of average merit scores is reduced by more than half.

Suggested Citation

  • Robert M. Curry & Joseph Foraker & Gary Lazzaro & David M. Ruth, 2024. "Practice Summary: Optimal Student Group Reassignment at U.S. Naval Academy," Interfaces, INFORMS, vol. 54(3), pages 205-210, May.
    • Handle: RePEc:inm:orinte:v:54:y:2024:i:3:p:205-210
    DOI: 10.1287/inte.2022.0055
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    References listed on IDEAS

    as
    1. Andrew Bowers & Melissa R. Bowers & Nana Bryan & Paolo Letizia & Spencer Murphy, 2023. "Forming Student Teams to Incorporate Soft Skills and Commonality of Schedule," Interfaces, INFORMS, vol. 53(2), pages 111-127, March.
    2. H. W. Kuhn, 1955. "The Hungarian method for the assignment problem," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 2(1‐2), pages 83-97, March.
    3. Saiful Hannan & Mark A. Gallagher & Anna M. Perrin, 2015. "Military Active and Reserve Component Mix: The Grey Space," Interfaces, INFORMS, vol. 45(4), pages 283-292, August.
    Full references (including those not matched with items on IDEAS)

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