Stochastic optimal capacity limits with linear management costs

Abstract

An optimal capacity management policy, based on Markov decision theory, is presented for a firm facing stochastic market demand with linear management costs. The optimal policy is presented as optimal boundaries and their limits representing the optimal capacity expansion and reduction levels. These boundaries show over time, regions where capacity should be unchanged, increased, or decreased in response to market demand based on the available information on the demand forecasts.