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The infinite horizon non-stationary stochastic inventory problem: Near myopic policies and weak ergodicity

  • Iida, Tetsuo
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    File URL: http://www.sciencedirect.com/science/article/B6VCT-3W49TS5-F/2/57cdb75ce45a68ab762509fa97c095c0
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    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 116 (1999)
    Issue (Month): 2 (July)
    Pages: 405-422

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    Handle: RePEc:eee:ejores:v:116:y:1999:i:2:p:405-422
    Contact details of provider: Web page: http://www.elsevier.com/locate/eor

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    1. Thomas E. Morton & David W. Pentico, 1995. "The Finite Horizon Nonstationary Stochastic Inventory Problem: Near-Myopic Bounds, Heuristics, Testing," Management Science, INFORMS, vol. 41(2), pages 334-343, February.
    2. Thomas E. Morton & William E. Wecker, 1977. "Discounting, Ergodicity and Convergence for Markov Decision Processes," Management Science, INFORMS, vol. 23(8), pages 890-900, April.
    3. Thomas E. Morton, 1978. "The Nonstationary Infinite Horizon Inventory Problem," Management Science, INFORMS, vol. 24(14), pages 1474-1482, October.
    4. William S. Lovejoy, 1992. "Stopped Myopic Policies in Some Inventory Models with Generalized Demand Processes," Management Science, INFORMS, vol. 38(5), pages 688-707, May.
    5. Samuel Karlin, 1960. "Dynamic Inventory Policy with Varying Stochastic Demands," Management Science, INFORMS, vol. 6(3), pages 231-258, April.
    6. Paul Zipkin, 1989. "Critical Number Policies for Inventory Models with Periodic Data," Management Science, INFORMS, vol. 35(1), pages 71-80, January.
    7. Ravi Anupindi & Thomas E. Morton & David Pentico, 1996. "The Nonstationary Stochastic Lead-Time Inventory Problem: Near-Myopic Bounds, Heuristics, and Testing," Management Science, INFORMS, vol. 42(1), pages 124-129, January.
    8. William S. Lovejoy, 1990. "Myopic Policies for Some Inventory Models with Uncertain Demand Distributions," Management Science, INFORMS, vol. 36(6), pages 724-738, June.
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