Optimal policies in hybrid manufacturing/remanufacturing systems with random price-sensitive product returns

Abstract

Abstract We study a production planning problem in which a manufacturer aims to meet a random market demand by manufacturing new product and remanufacturing returned product. The product returns are random and price-sensitive. To maximise his profit, the manufacturer needs to optimally decide on the acquisition price for the returned product as well as the quantities of the new product to be manufactured and the returned product to be remanufactured. We investigate two cases based on the relative lengths of the manufacturing and remanufacturing lead times. (1) In the case with a shorter manufacturing lead time, the manufacturer first decides his acquisition price for the returned product before the production starts, and then decides the quantities of manufacturing/remanufacturing after the product returns are realised. (2) In the case with a shorter remanufacturing lead time, the manufacturer first decides the manufacturing quantity and the acquisition price simultaneously, and then the remanufacturing quantity based on the quantity of manufactured and returned products. Each case is formulated as a two-stage stochastic optimisation problem, and the corresponding optimal polices of both are characterised and derived. Keywords: re-manufacturingsupply chain managementstochastic modelsreverse logisticsoperations management Acknowledgements We gratefully acknowledge the support of the National Natural Science Foundation of China (NSFC) Research Fund (Nos. 70801035 and 71171105) to X.L. Xu, the NSFC Research Fund (No. 70971069) and a Fok Ying-Tong Education Foundation of China grant (No. 121078) to Y.J. Li, and the Research Grants Council of Hong Kong, General Research Fund (No. 410509) and a NSFC Key Program grant (No. 70932005) to X.Q. Cai.