Abstract
This paper describes a general model to solve stochastic replacement economy problems. A general probabilistic model to describe the uncertainty about the cash flows of current and future challengers is presented. The model is then expressed as a stochastic replacement problem and solved using Monte Carlo simulation and dynamic programming. The model can consider both finite and infinite horizon times. A numerical example is provided.