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A supply chain network equilibrium model with random demands
Institution:1. CRED, Université Panthéon-Assas, Paris II, France;2. Chair in Game Theory and Management, GERAD, HEC Montréal, Canada;1. Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Md;2. Department of Public Health, Texas Tech University Health Sciences Center, Lubbock;3. Johns Hopkins University, Baltimore, Md;4. Department of Cardiology, Kaiser Permanente Northern California, Oakland
Abstract:In this paper, we develop a supply chain network model consisting of manufacturers and retailers in which the demands associated with the retail outlets are random. We model the optimizing behavior of the various decision-makers, derive the equilibrium conditions, and establish the finite-dimensional variational inequality formulation. We provide qualitative properties of the equilibrium pattern in terms of existence and uniqueness results and also establish conditions under which the proposed computational procedure is guaranteed to converge. Finally, we illustrate the model through several numerical examples for which the equilibrium prices and product shipments are computed. This is the first supply chain network equilibrium model with random demands for which modeling, qualitative analysis, and computational results have been obtained.
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