考虑一个既向市场提供全新产品又提供再制造品的单一产品供应链,在需求随机且回收量对回收价格敏感的情况下,为企业做出最优生产和回收决策,使供应链利润最大化.依据回收主体的不同,分别建立制造商回收时的集中决策模型与第三方回收时的分散决策模型;在随机需求环境下,给出不同决策模型的最优回收价格及全新产品与再制造品的最优产量;为分散决策模型制定协调各方利益的契约并给出最优契约参数.最后给出一个数值算例分析了回收参数对系统利润的影响.结果显示,回收参数在集中决策模型中对制造商的利润有很大的影响,而在分散模型中对回收商有较大影响.
A single product closed-loop supply chain that satisfies an uncertain market demand with original and remanufactured products is considered.The yield of the recovery process is random and depends on the acquisition price offered for the end-of-life products.In such a stochastic setting,a firm needs to make production and procurement decisions so that the total expected profit is maximized.Both centralized and decentralized models are established depending on the party collecting the returns.The optimal acquisition price and production quantities of original and remanufactured products are determined for the firm.The contracts to coordinate the decentralized systems are chosen and the optimal contract parameters are determined.A computational experiment is given to show the effects of recovery parameters on the system performance.Results show that the recovery parameters have a high impact on the profitability of the manufacturer in the centralized model and on that of the collection agency in the decentralized model.