Risk-sensitive inventory control problems

Abstract

Summary form only given. We study an inventory control problem, under a stochastic demand process and with risk (i.e., variance) sensitive optimality criteria. Using convexity and semimodularity-type arguments, we present sufficient conditions for an optimal base-stock policy to exist, in the finite horizon problem. For the infinite horizon case, we show that there exists an ultimately stationary base-stock optimal policy.