Thesis/Capstone
Publication Date
Authored by
Gianmarco Merino, Mostafa Khedr Elzanfaly
Advisor(s): Jim RiceJafar Namdar
Topic(s) Covered:
  • Risk Management
Abstract

After the Covid-19 pandemic, organizations re-evaluated their supply chain strategies and began a race to build resilience in their networks. However, quantifying the level of resilience of any supply chain is a complex task, given the uncertainties associated with disruptions and the dynamics of global markets. This paper proposes a novel framework for quantifying supply chain resilience, with a focus on the upstream side of the network. Using Social Network Analysis (SNA) indicators and Business Impact concepts, we developed a methodology that captures the impact and robustness within the different tiers of suppliers. The framework also proposes resilience score metrics for comparing different sourcing strategies and network designs. Using a synthetic network, the framework suggests that enhancing flexibility and redundancy could bolster the resilience of other nodes in the supply chain by up to 50%. However, these strategies may also impact overall resilience and introduce criticality to certain nodes, limiting the overall resilience enhancement to only 3%. These findings stem from an analysis based on specific assumptions and characteristics. Consequently, the results may vary when implemented in unique supply chain networks with distinct characteristics. The proposed framework provides a valuable starting point to practitioners for understanding and improving supply chain resilience.

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