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Real-time bi-objective personnel re-scheduling in the retail industry

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  • Hassani, Rachid
  • Desaulniers, Guy
  • Elhallaoui, Issmail

Abstract

Personnel scheduling consists of determining least-cost work schedules to cover the demand of multiple jobs expressed in number of employees per job and period of a given horizon. During the operations, minor disruptions to the planned schedule, such as employee lateness, often occur and must be addressed in real time without changing too much the schedule. In this paper, we develop a fast re-scheduling heuristic that can be used to correct such minor disruptions in a retail industry context where employees can be assigned to a wide variety of shifts, starting and ending at numerous times. This heuristic can compute a set of approximate Pareto-optimal solutions that achieve a good compromise between cost and number of shift changes. It can be seen as a labeling algorithm that partially explores the network defined by the edges of the convex hull of the solutions of an integer program. Theoretical insights are provided to support certain speedup rules. Computational experiments conducted on instances derived from real-life datasets involving up to 95 employees show the heuristic efficiency. In less than one second on average, it can compute Pareto-optimal solutions for more than 98% of the tested scenarios.

Suggested Citation

  • Hassani, Rachid & Desaulniers, Guy & Elhallaoui, Issmail, 2021. "Real-time bi-objective personnel re-scheduling in the retail industry," European Journal of Operational Research, Elsevier, vol. 293(1), pages 93-108.
    • Handle: RePEc:eee:ejores:v:293:y:2021:i:1:p:93-108
    DOI: 10.1016/j.ejor.2020.12.013
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    References listed on IDEAS

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    1. Margarida Moz & Margarida Pato, 2003. "An Integer Multicommodity Flow Model Applied to the Rerostering of Nurse Schedules," Annals of Operations Research, Springer, vol. 119(1), pages 285-301, March.
    2. 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.
    3. Margarida Moz & Margarida Pato, 2004. "Solving the Problem of Rerostering Nurse Schedules with Hard Constraints: New Multicommodity Flow Models," Annals of Operations Research, Springer, vol. 128(1), pages 179-197, April.
    4. Marie-Claude Côté & Bernard Gendron & Louis-Martin Rousseau, 2011. "Grammar-Based Integer Programming Models for Multiactivity Shift Scheduling," Management Science, INFORMS, vol. 57(1), pages 151-163, January.
    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. Stefan Irnich & Guy Desaulniers, 2005. "Shortest Path Problems with Resource Constraints," Springer Books, in: Guy Desaulniers & Jacques Desrosiers & Marius M. Solomon (ed.), Column Generation, chapter 0, pages 33-65, Springer.
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    Cited by:

    1. Wu, Zhiying & Xu, Guoning & Chen, Qingxin & Mao, Ning, 2023. "Two stochastic optimization methods for shift design with uncertain demand," Omega, Elsevier, vol. 115(C).

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