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Tight performance 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. "Tight performance in Bayesian scheduling," Research Memorandum 052, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    • Handle: RePEc:unm:umamet:2010052
    DOI: 10.26481/umamet.2010052
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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. Vivek F. Farias & Benjamin Van Roy, 2010. "Dynamic Pricing with a Prior on Market Response," Operations Research, INFORMS, vol. 58(1), pages 16-29, February.
    3. Martin A. Lariviere & Evan L. Porteus, 1999. "Stalking Information: Bayesian Inventory Management with Unobserved Lost Sales," Management Science, INFORMS, vol. 45(3), pages 346-363, March.
    4. 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.
    5. 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.
    6. Victor F. Araman & René Caldentey, 2009. "Dynamic Pricing for Nonperishable Products with Demand Learning," Operations Research, INFORMS, vol. 57(5), pages 1169-1188, October.
    7. Li Chen & Erica L. Plambeck, 2008. "Dynamic Inventory Management with Learning About the Demand Distribution and Substitution Probability," Manufacturing & Service Operations Management, INFORMS, vol. 10(2), pages 236-256, May.
    8. Katy S. Azoury, 1985. "Bayes Solution to Dynamic Inventory Models Under Unknown Demand Distribution," Management Science, INFORMS, vol. 31(9), pages 1150-1160, September.
    9. 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.
    10. 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.
    11. 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).
    Full references (including those not matched with items on IDEAS)

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