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Scheduling of Work Forces Required in Continuous Operations Under Alternative Labor Policies

Author

Listed:
  • William S. Brownell

    (Clarkson College of Technology)

  • James M. Lowerre

    (Clarkson College of Technology)

Abstract

For a seven day a week operation in which N employees are needed on each weekday and n on each weekend day, with N at least as large as n, the effects of time-off policies on the size of the work force are studied. The simplest time-off schedule considered is one in which each employee has two days off out of the week. The most complicated is the policy under which each employee gets even other weekend off, four days off in each two weeks, and all days off in two-day blocks. After the minimum necessary work force has been determined for a policy, it is then shown how any work force meeting the requirement can actually be scheduled.

Suggested Citation

  • William S. Brownell & James M. Lowerre, 1976. "Scheduling of Work Forces Required in Continuous Operations Under Alternative Labor Policies," Management Science, INFORMS, vol. 22(5), pages 597-605, January.
  • Handle: RePEc:inm:ormnsc:v:22:y:1976:i:5:p:597-605
    DOI: 10.1287/mnsc.22.5.597
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    Cited by:

    1. Hung, Rudy, 2006. "Using compressed workweeks to save labour cost," European Journal of Operational Research, Elsevier, vol. 170(1), pages 319-322, April.
    2. Maenhout, Broos & Vanhoucke, Mario, 2013. "An integrated nurse staffing and scheduling analysis for longer-term nursing staff allocation problems," Omega, Elsevier, vol. 41(2), pages 485-499.
    3. Broos Maenhout & Mario Vanhoucke, 2017. "A resource type analysis of the integrated project scheduling and personnel staffing problem," Annals of Operations Research, Springer, vol. 252(2), pages 407-433, May.
    4. Narasimhan, Rangarajan, 1997. "An algorithm for single shift scheduling of hierarchical workforce," European Journal of Operational Research, Elsevier, vol. 96(1), pages 113-121, January.
    5. Giovanni Felici & Claudio Gentile, 2004. "A Polyhedral Approach for the Staff Rostering Problem," Management Science, INFORMS, vol. 50(3), pages 381-393, March.

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