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An implicit model for multi-activity shift scheduling problems

Author

Listed:
  • Sana Dahmen

    (Laval University and CIRRELT)

  • Monia Rekik

    (Laval University and CIRRELT)

  • François Soumis

    (École Polytechnique de Montréal and GERAD)

Abstract

We consider a multi-activity shift scheduling problem where the objective is to construct anonymous multi-activity shifts that respect union rules, satisfy the demand and minimize workforce costs. An implicit approach using adapted forward and backward constraints is proposed that integrates both the shift construction and the activity assignment problems. Our computational study shows that using the branch-and-bound procedure of CPLEX 12.6 on the proposed implicit model yields optimal solutions in relatively short times for environments including up to 2970 millions of explicit shifts. Our implicit model is compared to the grammar-based implicit model proposed by Côté et al. (Manag Sci 57(1):151–163, 2011b) on a large set of instances. The results prove that both implicit models have their strengths and weaknesses and are more or less efficient depending on the scheduling environment.

Suggested Citation

  • Sana Dahmen & Monia Rekik & François Soumis, 2018. "An implicit model for multi-activity shift scheduling problems," Journal of Scheduling, Springer, vol. 21(3), pages 285-304, June.
    • Handle: RePEc:spr:jsched:v:21:y:2018:i:3:d:10.1007_s10951-017-0544-y
    DOI: 10.1007/s10951-017-0544-y
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    References listed on IDEAS

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    Cited by:

    1. Mark W. Isken & Osman T. Aydas, 2022. "A tactical multi-week implicit tour scheduling model with applications in healthcare," Health Care Management Science, Springer, vol. 25(4), pages 551-573, December.
    2. Arpan Rijal & Marco Bijvank & Asvin Goel & René de Koster, 2021. "Workforce Scheduling with Order-Picking Assignments in Distribution Facilities," Transportation Science, INFORMS, vol. 55(3), pages 725-746, May.
    3. Michael Römer, 2024. "Block-based state-expanded network models for multi-activity shift scheduling," Journal of Scheduling, Springer, vol. 27(4), pages 341-361, August.

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