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Asymptotic optimality of SEPT in Bayesian scheduling

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  • Marban, S.

    (Quantitative Economics)

  • Rutten, C.

    (Quantitative Economics)

  • Vredeveld, T.

    (Quantitative Economics)

Abstract

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Suggested Citation

  • Marban, S. & Rutten, C. & Vredeveld, T., 2010. "Asymptotic optimality of SEPT in Bayesian scheduling," Research Memorandum 050, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    • Handle: RePEc:unm:umamet:2010050
    DOI: 10.26481/umamet.2010050
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    References listed on IDEAS

    as
    1. Michael H. Rothkopf, 1966. "Scheduling with Random Service Times," Management Science, INFORMS, vol. 12(9), pages 707-713, May.
    2. K. D. Glazebrook & R. W. Owen, 1995. "On the Value of Adaptive Solutions to Stochastic Scheduling Problems," Mathematics of Operations Research, INFORMS, vol. 20(1), pages 65-89, February.
    3. Nicole Megow & Marc Uetz & Tjark Vredeveld, 2006. "Models and Algorithms for Stochastic Online Scheduling," Mathematics of Operations Research, INFORMS, vol. 31(3), pages 513-525, August.
    4. Michael Pinedo, 1983. "Stochastic Scheduling with Release Dates and Due Dates," Operations Research, INFORMS, vol. 31(3), pages 559-572, June.
    5. Toshio Hamada & Kevin D. Glazebrook, 1993. "A Bayesian Sequential Single Machine Scheduling Problem to Minimize the Expected Weighted Sum of Flowtimes of Jobs with Exponential Processing Times," Operations Research, INFORMS, vol. 41(5), pages 924-934, October.
    6. Gideon Weiss, 1992. "Turnpike Optimality of Smith's Rule in Parallel Machines Stochastic Scheduling," Mathematics of Operations Research, INFORMS, vol. 17(2), pages 255-270, May.
    7. Megow, N. & Vredeveld, T., 2006. "Approximation results for preemptive stochastic online scheduling," Research Memorandum 053, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
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