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Workforce Scheduling for Airport Immigration on the Island of Tropical Paradise

Author

Listed:
  • Thomas C. Sharkey

    (Department of Industrial and Systems Engineering, Rensselaer Polytechnic Institute, Troy, New York 12180)

  • Steve Bublak

    (Deloitte Platforms, Deloitte Consulting LLP, Pittsburgh, Pennsylvania 15222)

  • Lisa Disselkamp

    (HR Transformation and Workforce Strategy and Insights, Deloitte Consulting LLP, McLean, Virginia 22102)

  • Brittney Shkil

    (Government and Public Sector, Deloitte Consulting LLP, Boston, Massachusetts 02116)

Abstract

This case study focuses on modeling and analyzing the practices concerning the staffing of the immigration agency at the Island of Tropical Paradise International Airport, which is responsible for processing arriving passengers into the country. Students are challenged to model the status quo of immigration employee scheduling and analyze various high-level policy changes to determine the reduction in staffing requirements while also being concerned with the wait time of passengers in the queue at immigration. The case has been used in an introductory operations research (OR) course in an engineering curriculum as a term project and was created based on a client of a major consulting organization. The main teaching objective of the case is to have students demonstrate an understanding of how to use OR models and analysis to impact practice. To this end, the case moves the students from standard classroom or textbook examples to an open-ended problem where there is not a single correct model or analysis to tackle it.

Suggested Citation

  • Thomas C. Sharkey & Steve Bublak & Lisa Disselkamp & Brittney Shkil, 2020. "Workforce Scheduling for Airport Immigration on the Island of Tropical Paradise," INFORMS Transactions on Education, INFORMS, vol. 20(2), pages 85-89, January.
  • Handle: RePEc:inm:orited:v:20:y:2020:i:2:p:85-89
    DOI: 10.1287/ited.2019.0213ca
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    References listed on IDEAS

    as
    1. Van den Bergh, Jorne & Beliën, Jeroen & De Bruecker, Philippe & Demeulemeester, Erik & De Boeck, Liesje, 2013. "Personnel scheduling: A literature review," European Journal of Operational Research, Elsevier, vol. 226(3), pages 367-385.
    2. Michael A. Trick, 2004. "Using Sports Scheduling to Teach Integer Programming," INFORMS Transactions on Education, INFORMS, vol. 5(1), pages 10-17, September.
    3. Ruben A. Proano, 2016. "Case—Dealing with the Bug in the Classrooms: Planning for a Pandemic," INFORMS Transactions on Education, INFORMS, vol. 16(3), pages 97-103, May.
    4. Ahti Salo, 2012. "A Seminar for Solving Client Problems in Project Teams," INFORMS Transactions on Education, INFORMS, vol. 13(1), pages 17-27, September.
    5. A.T. Ernst & H. Jiang & M. Krishnamoorthy & B. Owens & D. Sier, 2004. "An Annotated Bibliography of Personnel Scheduling and Rostering," Annals of Operations Research, Springer, vol. 127(1), pages 21-144, March.
    6. Ernst, A. T. & Jiang, H. & Krishnamoorthy, M. & Sier, D., 2004. "Staff scheduling and rostering: A review of applications, methods and models," European Journal of Operational Research, Elsevier, vol. 153(1), pages 3-27, February.
    7. Ruben A. Proano, 2016. "Case Article—Dealing with the Bug in the Classrooms: Planning for a Pandemic," INFORMS Transactions on Education, INFORMS, vol. 16(3), pages 93-96, May.
    8. Mark E. Hillon & Yue Cai-Hillon & Darrell Brammer, 2012. "A Brief Guide to Student Projects with Industry," INFORMS Transactions on Education, INFORMS, vol. 13(1), pages 10-16, September.
    9. Arthur M. Geoffrion, 1976. "The Purpose of Mathematical Programming is Insight, Not Numbers," Interfaces, INFORMS, vol. 7(1), pages 81-92, November.
    10. David Kopcso & Dessislava Pachamanova, 2018. "Case Article—Business Value in Integrating Predictive and Prescriptive Analytics Models," INFORMS Transactions on Education, INFORMS, vol. 19(1), pages 36-42, September.
    11. Ashlea Bennett Milburn & Emre Kirac & Mina Hadianniasar, 2017. "Case Article—Growing Pains: A Case Study for Large-Scale Vehicle Routing," INFORMS Transactions on Education, INFORMS, vol. 17(2), pages 75-80, January.
    12. Renata A. Konrad, 2018. "Effectively Engaging Industry Partners Within the Classroom," INFORMS Transactions on Education, INFORMS, vol. 18(3), pages 174-182, May.
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    Cited by:

    1. Steven Shechter, 2023. "Case Article—Pediatrician Scheduling at British Columbia Women’s Hospital," INFORMS Transactions on Education, INFORMS, vol. 24(1), pages 35-39, September.
    2. Ramiro Saltos & Sebastián Maldonado, 2023. "Case Article—School Timetabling Problem: A Scheduling Problem for High-School Institutions," INFORMS Transactions on Education, INFORMS, vol. 24(1), pages 95-99, September.

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