随机需求条件下产品退货政策协调与优化

Coordination and Optimization for Returns Policy under Stochastic Demands

本文研究了随机需求条件下基于退货的单周期单一产品逆向供应链模型。首先,研究了集中决策条件下集成厂商的利润函数,并讨论了实现利润最大化的最优性条件及其最优订货量;其次,在分散决策条件下,分别研究了制造商和销售商的利润函数,并讨论了销售商的最优性条件及其最优订货量;最后,在集中决策和分散决策模型的基础上,重点研究了供应链的协调与优化,得出了实现供应链协调的基本条件和两者之间的利润分配机制。通过制定批发价格和退货价格来实现两者之间的增加利润的任意分配。

Under stochastic market demands, returns policy is presented in single-period and one-prod-uct reverse supply chain. The optimization conditions and optimal ordering quantities are derived for profit maximization on the condition of centralized and decentralized decision making. The supply chain coordination and optimization are the focus of this paper and further the primary conditions and profit allocation mechanism are proposed. The profit allocation of the difference between the centralization and decentralization is accomplished by the price of wholesale and return.