Modeling high demand variance in dynamic programming

Practitioners sometimes show reluctance to apply DP models in Revenue Management citing difficulty in modeling high–variance, real–life customer demand. We propose a method to address that issue by suitably increasing variance in a popular Poisson demand model and then slightly generalizing the DP formulation while keeping desired structural properties intact. We include numerical examples for a discrete–time approximation to Poisson–distributed demand.