随机需求下考虑风险行为的闭环供应链网络均衡模型

以变分不等式和均衡理论为基本研究工具,研究了随机需求与再制造率不确定条件下多个竞争型的供应商、制造商、零售商及消费市场的行为及均衡条件。对所建立的多级闭环供应链网络均衡模型,通过拟牛顿算法求解变分不等式,并仿真分析了再制造率、回收率以及风险因素对闭环供应链网络均衡结果的影响。结果表明:制造商提高再制造率能实现供应链成员利润的增加、产品价格的降低以及回收量的增加;制造商基于风险最小化和利润最大化相结合的原则进行决策能增加产品的交易量及企业的利润。

Equilibrium Analysis of Closed-loop Supply Chain Based on the Stochastic Demand and Risk Decision-making

Based on equilibrium theory and variational inequality, a multi-tiers competitive closed-loop supply chain with stochastic demand and remanufacturing rate in uncertainty is proposed, and the behavior and equilibrium conditions of suppliers, manufacturers, retailers, demand markets and the closed-loop supply chain are analyzed. For the model, the equilibrium results are obtained through Qusi-Newton algorithm and simulation analysis are made of how remanufacturing rate, return rate and risk behavior of the manufacturers influence the network equilibrium. The conclusion indicates that an increase in remanufacturing rate may lead to the overall profits of the supply chain and recycle volume increase simultaneously. What's more, manufacturers make decisions based on risk minimization and profit maximization principal of combination can increase trading volume and corporate profits.