Abstract

The supply chain network is a complex, interconnected system. Any disruption in the flow of products or information within this network will have ripple effects, impacting other industries and partners in the supply chain. A disruption to one component of the network can lead to the isolation of certain industries. To analyze these impacts, a mixed-integer programming (MIP) model is proposed. This model aims to measure the effects of disruptions on the flow of transactions between industries in Saudi Arabia, and how such disruptions affect the economic interdependencies across sectors. The study focuses on the 10 sectors most representative of the Saudi Arabian supply chain network. To evaluate the model's effectiveness, two different disruption scenarios were implemented. First, hundreds of random disruptions were generated, with one sector fully disrupted at a time. This allowed identification of the most vulnerable sector - sector 10. Then, targeted disruptions were applied to specific sectors, and the results showed varying levels of impact on other affected sectors, demonstrating the complex, interdependent nature of the supply chain. This study highlights the significant impact that disruptions in one economic sector of the Saudi Arabian supply chain can have on other interconnected sectors, due to the high degree of interdependency within the network.