Optimal lot sizing, process quality improvement and setup cost reduction
Operations Research
Probability in the Engineering and Informational Sciences
Optimal Policy for a Multiechelon Inventory System with Remanufacturing
Operations Research
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In this article we study a firm that is facing demand from two sources: demand for new items and demand to replace failed items under warranty. We model this setting as a multiperiod single-product inventory problem where the demands for new items in different periods are independent and the demands for replacing failed items depend on the number of the items under warranty. We consider backlogging and emergency supply cases and study both discounted-cost and average-cost criteria. We prove the optimality of the w-dependent base stock ordering policy, where the base stock level is a function of w, the number of items currently under warranty. For the special case where the demand for new products is stationary, we prove the optimality of a stationary w-dependent base stock policy for the finite-horizon discounted-cost and the infinite-horizon discounted- and average-cost cases. We compare the integrated inventory policy with the one that neglects demands from items under warranty.