摘要： 供应链管理中的客户需求不确定性会导致需求信息偏差逐级放大的"牛鞭效应"，但目前常用的供应链管理策略为供应商管理库存，没有考虑需求不确定的影响。为此，在单个供应商、多个零售商需求不确定的情况下，结合鲁棒优化法提出一种联合补货策略进行库存管理。构建一个非线性混合整数规划模型以计算两级供应链的总成本，通过总成本的变化来反映供应链系统的性能，采用鲁棒优化法求解供应链系统的最小总成本，并使用外部和内部两层迭代算法获得供应商和零售商的补货周期及补货数目。实验结果表明，与传统的供应链策略ERI和AR相比，该策略可有效降低供应链系统的总成本。

关键词: 供应链管理, 供应商管理库存, 联合补货策略, 需求不确定性, 鲁棒优化

Abstract: In supply chain management,the uncertainty of customer demand will cause bullwhip effect,which can increase the deviation of demand information.However,the most applied supply chain strategy is vendor managed inventory,which fails to consider the influence of uncertainty.To address this problem,we propose a joint replenishment strategy for inventory management based on robust optimization,which is specifically for the uncertain demands of single supplier and multiple retailers.Firstly,we build a non-linear hybrid integer programming model to calculate the total cost of two-stage supply chain,so as to reflect the performance of the supply chain system through the changes of total cost.Then,we use robust optimization method to get the minimum total cost of the supply chain system.Finally,we use the external and internal iterative algorithms to obtain the replenishment period and replenishment number of suppliers and retailers.Experimental results show that compared with the traditional supply chain strategy ERI and AR,the proposed strategy can effectively reduce the total cost of the supply chain system.

Key words: supply chain management, vendor managed inventory, joint replenishment strategy, uncertain demand, robust optimization

中图分类号: 

• TP273