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Coordinated Replenishment Game and Learning Under Time Dependency and Uncertainty of the Parameters

Author

Listed:
  • Stefanny Ramirez

    (University of Groningen)

  • Laurence H. Brandenburg

    (University of Groningen)

  • Dario Bauso

    (University of Groningen
    Università di Palermo)

Abstract

This research proposes a periodic review multi-item two-layer inventory model. The main contribution is a novel approach to determine the can-order threshold in a two-layer model under time-dependent and uncertain demand and setup costs. The first layer consists of a learning mechanism to forecast demand and forecast setup costs. The second layer involves the coordinated replenishment of items, which is analysed as a Bayesian game with uncertain prior probability distribution. The research builds on the concept of the (S, c, s) policy, which is extended to the case of uncertain and time-dependent parameters.

Suggested Citation

  • Stefanny Ramirez & Laurence H. Brandenburg & Dario Bauso, 2023. "Coordinated Replenishment Game and Learning Under Time Dependency and Uncertainty of the Parameters," Dynamic Games and Applications, Springer, vol. 13(1), pages 326-352, March.
    • Handle: RePEc:spr:dyngam:v:13:y:2023:i:1:d:10.1007_s13235-022-00441-3
    DOI: 10.1007/s13235-022-00441-3
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    References listed on IDEAS

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