Optimal solutions for the machining economics problem with stochastically distributed tool lives

This paper proposes analytical models and numerical procedures for simultaneously determining the optimal cutting speed and tool replacement policy in machining economics problems with stochastic tool lives when the objective is the minimization of the machining cost per part. It is shown that the objective function is separable for certain phase type tool life distributions, including Gamma, which leads to an efficient solution procedure.