Resilient Supply Chain Network Design under Joint Facility-Road Disruptions
DOI:
https://doi.org/10.62051/ajmse.v1n3.03Keywords:
Supply Chain Network Design, Column-and-constraint Generation, Decision-making Framework, Composite Interruption RiskAbstract
Industrial supply chain networks are increasingly exposed to compound disruptions caused by facility failures and road interruptions. These disruptions may reduce supply capacity, block transportation links, and lead to unmet demand. To address this problem, this paper studies the resilient design of a regional industrial supply chain network under joint facility-road disruptions. A two-stage robust optimization model is developed. In the first stage, facility location, facility protection, and road protection decisions are made before disruptions occur. In the second stage, transportation reallocation and shortage recourse decisions are optimized after the worst-case disruption scenario is realized. To solve the resulting min-max-min model, a column-and-constraint generation algorithm is used. The algorithm decomposes the original problem into a master problem and a subproblem. The master problem determines the first-stage network design, while the subproblem searches for the worst-case joint disruption scenario. A case study based on the electronic product supply chain in Guangdong Province is conducted to test the model. The results show that the proposed method can identify critical facilities and key roads, improve post-disruption service performance, and reduce shortage losses under extreme disruption scenarios. This study provides a practical decision-making framework for resilient supply chain network design under compound disruption risks.
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