Supply planning for a closed loop supply chain with uncertain demand and price-dependent stochastic return
This paper considers a single product closed loop supply chain, in which the manufacturer faces an uncertain market demand and price-dependent stochastic returns. There are two options for supplying the products: either producing products by new materials and components, or remanufacturing the recycle products and bringing them back to as new conditions. The problem is to determine the quantities of bran-new and rcmanufactured products, and the acquisition price for used products so that the manufacturers total expected profit is maximized. We develop a Nonlinear Programming (LP) model and present some properties of this problem. With the properties an optimal solution approach is developed. Two numerical examples are used to analyze the problem and test the solution approach.
newsvendor supply planning pricing uncertain demand uncertain return
Jianmai Shi Guoqing Zhang Kin Keung Lai
Department of Industrial and Manufacturing Systems Engineering, University of Windsor Windsor, Canad Department of Management Sciences City University of Hong Kong Hong Kong, China
国际会议
北京
英文
616-620
2009-07-24（万方平台首次上网日期，不代表论文的发表时间）