EURO 2024 Copenhagen
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3235. Multi-layer Supply Network Dynamics and Resilience in the Copper Industry: A Complex Network Theory Analysis

Invited abstract in session MB-24: Raw Material Supply Chains, stream Sustainable Supply Chains.

Monday, 10:30-12:00
Room: 83 (building: 116)

Authors (first author is the speaker)

1. Qiyan Liu
Civil and Environmental Engineering, University of Michigan, Ann Arbor
2. Peter Adriaens
Civil and Environmental Engineering, University of Michigan

Abstract

Copper, an essential mineral for renewable energy technologies, faces significant supply chain disruption risks due to its uneven global distribution. This research focuses on the vulnerabilities within the copper industry's supply chain, which is extensively interconnected from the extraction of raw materials to the production of finished goods.

This study leverages complex network theory to develop a weighted, multi-layer supply chain network model at the firm level within the copper industry, utilizing real-world data from the FactSet Supply Chain Relationship database. It examines the network's structural characteristics and employs degree-based removal strategies to simulate targeted attacks on the network, offering insights into its robustness.

This study enriches the literature by providing an in-depth analysis of the copper supply chain at the firm level, employing dynamic risk transmission modeling to explore supply risks across firm, industry, and regional levels. The study not only identifies vulnerabilities but also proposes strategies to enhance network resilience. Through this comprehensive framework, we offer new insights into mitigating supply chain vulnerabilities in the copper industry, highlighting the critical role of network structure and interdependencies in supply chain resilience.

Keywords

Status: accepted

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