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

Stefanny Ramirez (), Laurence H. Brandenburg and Dario Bauso
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Stefanny Ramirez: University of Groningen
Laurence H. Brandenburg: University of Groningen
Dario Bauso: University of Groningen

Dynamic Games and Applications, 2023, vol. 13, issue 1, No 13, 326-352

Abstract: 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.

Keywords: Coordination game; Inventory control; Can-order policy; Bayesian game; Distributionally robust optimization (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s13235-022-00441-3

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