Resilience Supply Chain Network Design Based on Node Interruptions
The design of resilient supply chains seeks to minimize total operating costs in both normal and disruption scenarios.This involves accounting for normal operating costs and disruption-related costs.A two-stage network planning model is developed for a limited number of disruption scenarios:the first stage models normal operations,while the second stage focuses on recovery after disruptions occur.This stage includes factors like transportation costs,procurement price variances,and production losses,as well as strategies such as using substitute suppliers and spot purchasing.It incorporates random disruption parameters,with supplier disruptions set at 25%of main suppliers.The model aims to minimize the sum of normal operating costs and recovery compensation costs.This stochastic planning model is implemented using Python to derive the optimal supply chain network design.