Abstract: To solve the problem that the demand could not be satisfied due to the interruption of main supply points or transportation paths in the supply network,a resilient supply chain network design problem based on multiple interruption recovery strategies was proposed.In a two-stage supply chain,considering the random interruptions that might occur to the main supplier,the supply capacity was restored through a variety of strategies such as standby supply and spot purchase.To minimize the total cost of supply chain operation,a two-stage stochastic programming model was established and a resilient supply chain network was designed.In the first stage,the location of main suppliers,the supply quantity from the main suppliers to the demand points,the location of standby suppliers and the emergency reserve quantity of each standby supplier in the network under normal conditions were determined.In the second stage,the quantity of products delivered by the main suppliers and standby suppliers to the demand points under various interruption scenarios and the quantity of spot purchase or out-of-stock loss at each demand point were determined.When the number of interruption scenarios was limited,the two-stage stochastic programming model could be expressed as a mixed integer programming model,which was solved by Gurobi solver.The validity of stochastic programming model and the necessity of combining multiple recovery strategies were verified by simulation.

Key words: random interrupt, resilience, supply chain network, recovery strategy, stochastic programming

摘要： 针对供应网络中主供应商或运输路径中断导致需求无法满足的问题,提出了基于多种中断恢复策略的弹性供应链网络设计问题。在二级供应链中,考虑主供应商可能发生的随机中断,通过备用供应和现货购买等多种策略恢复供应能力。以供应网络运行总成本极小化为目标,建立弹性供应链网络设计问题的两阶段随机规划模型。第一阶段确定正常情况下网络中的主供应商位置、主供应商向需求点的供应量、备用供应商的位置和备用储备量;第二阶段确定各种中断场景下主供应商和备用供应商向需求点运送产品的数量,以及各个需求点的现货购买量或缺货损失量。当中断场景数量有限时,两阶段随机规划模型可以表示为混合整数规划模型,使用Gurobi求解器求解。最后通过模拟计算,验证了随机规划模型的有效性和多种恢复策略相结合的必要性。

关键词: 随机中断, 弹性, 供应链网络, 恢复策略, 随机规划