Abstract
Some controlled Markovian processes in discrete time in the context of optimization of inventory control systems are studied. Optimality of (s, S)-policies for the case of convex cost functions is proved using theorems on existence and uniqueness of a nonrandomized stationary optimal policy for Markovian processes with discrete time and a continuous control set for criteria characterizing mean costs per unit time and overestimated total costs and Bellman equations.
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Demchenko, S.S., Knopov, A.P. & Pepelyaev, V.A. Optimal Strategies for Inventory Control Systems with a Convex Cost Function. Cybernetics and Systems Analysis 36, 891–897 (2000). https://doi.org/10.1023/A:1009413511883
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DOI: https://doi.org/10.1023/A:1009413511883