Inventory management with advance supply information

We consider a single stage inventory system with stochastic capacity. The manager receives forecasts from the upstream source about future capacity availability within an information horizon, referred to as “advance supply information”. We study two main questions: (i) How can advance supply information be utilized when making replenishment decisions? (ii) What is the value of such information sharing, compared to a fixed base-stock policy? We show that state-dependent base-stock policies are optimal. We develop easily computable and implementable heuristic policies. We numerically test the accuracy of the approximations and analyze the value of collaboration under various business scenarios.