不确定需求下再制造系统回收、生产与定价策略研究

Return,Production,and Pricing Decisions for Remanufacturing System with Uncertain Demand

以单一制造商为研究对象,在需求不确定且回收量依赖于需求量的环境下,构建基于期望利润最大化的数学模型,给出最优的回收率、新品和再制造品生产量及销售价格,并通过解析和数值仿真分析了市场规模、单位节约成本、回收成本的规模参数和需求不确定性对最优策略的影响.结果表明:市场规模增大,销售价格、回收率、生产量和再制造量都随之增大,而新品生产量先增大后减小;单位节约成本越大,回收成本的规模参数越小时,进行再制造就越有利;需求不确定性增加时,进行再制造更有利,可以降低由需求不确定性所造成的损失.

In this study we focus on return,production and pricing decisions in hybrid manufacturing/remanufacturing system.We consider a manufacturer who has two channels to satisfy the demand：manufacturing brand-new products and remanufacturing returns into as-new ones.The customers are indifferent between brand-new and remanufactured products.The return quantity depends on customer demand which is uncertain and sensitive to the selling price.In this setting,we develop a mathematical model to investigate the optimal return,production and pricing policies in order to maximize the manufacturer＇s expected profit and conduct a sensitivity analysis to understand the effect of different model parameters on the optimal strategies and profit.An important managerial insight is that under uncertain circumstances remanufacturing is a better way to reduce risks and improve revenues.