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Quantitative models for optimal rest period scheduling

Author

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  • Gentzler, GL
  • Khalil, TM
  • Sivazlian, BD

Abstract

Mathematical and simulation models studying work-rest schedules in a production process are developed to arrive at an optimal rest policy to maximize work output per unit time. A CSMP simulation study is used to test the sensitivity of the results for different specific cases.

Suggested Citation

  • Gentzler, GL & Khalil, TM & Sivazlian, BD, 1977. "Quantitative models for optimal rest period scheduling," Omega, Elsevier, vol. 5(2), pages 215-220.
    • Handle: RePEc:eee:jomega:v:5:y:1977:i:2:p:215-220
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    Cited by:

    1. Xu, Shuling & Hall, Nicholas G., 2021. "Fatigue, personnel scheduling and operations: Review and research opportunities," European Journal of Operational Research, Elsevier, vol. 295(3), pages 807-822.
    2. Janiak, Adam & Kovalyov, Mikhail Y., 2006. "Scheduling in a contaminated area: A model and polynomial algorithms," European Journal of Operational Research, Elsevier, vol. 173(1), pages 125-132, August.
    3. Sawik, Tadeusz, 2010. "An integer programming approach to scheduling in a contaminated area," Omega, Elsevier, vol. 38(3-4), pages 179-191, June.
    4. A Janiak & M Y Kovalyov, 2008. "Scheduling jobs in a contaminated area: a model and heuristic algorithms," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(7), pages 977-987, July.
    5. Sheng Yu, 2015. "An optimal single-machine scheduling with linear deterioration rate and rate-modifying activities," Journal of Combinatorial Optimization, Springer, vol. 30(2), pages 242-252, August.

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