Product recall timing optimization using dynamic programming

In this paper we treat the optimal timing of product recall decisions as a dynamic process with defect rate as a random variable. We first develop an optimal stopping model where the defect rate is a beta random variable that is constant across all periods. We solve the problem using stochastic dynamic programming (DP) and develop thresholds for optimal stopping based on the observed value of the number of returns as a state variable. We then …