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Thesis Defence: Disruption Risk Analysis Frameworks for Enhancing Sustainable Supply Chain Resilience and Continuity

February 20 at 10:00 am - 2:00 pm

Oishwarjya Ferdous, supervised by Dr. Babak Tosarkani, will defend their thesis titled “Disruption Risk Analysis Frameworks for Enhancing Sustainable Supply Chain Resilience and Continuity” in partial fulfillment of the requirements for the degree of Master of Applied Science in Mechanical Engineering.

An abstract for Oishwarjya Ferdous’ thesis is included below.

Defences are open to all members of the campus community as well as the general public. Please email babak.tosarkani@ubc.ca to receive the Zoom link for this defence.


ABSTRACT

Recent events, including devastating natural crises and the impact of the volatility of international relations, have emphasized the vulnerability of the supply chain. As global supply chains face increasing complexities, organizations must balance operational efficiency with preparedness for unforeseen disruptions. Conventional risk management tools may fail to capture the dynamic and unpredictable nature of today’s supply chain disruptions. The study explores the critical need to combine supply chain management, risk management, and sustainability for a systematic analysis of disruption risks. Supply chains operate in a dynamic environment subject to various uncertainties. Additionally, the subjective assignment of weights to various risk factors can introduce biases. Both result in inaccurate risk prioritization with the limited resources available. Considering the uncertainty and reliable weight assignment helps organizations better manage the potential impacts of disruptions. Therefore, this research starts with proposing a decision support framework integrating clustering and multi-criteria decision-making approach for risk categorization and prioritization, respectively. Next, this study proposes the decision support framework enabled with the robust value-based additive data envelopment analysis model to analyze disruption risks. The developed frameworks consider the significance of multiple risk factors (e.g., urgency and vulnerability) in the risk disruption analysis process. The findings imply that the proposed frameworks offer a more reliable ranking compared to conventional techniques to categorize potential disruption risks into different categories (e.g., critical and minimal) and empower managers to deal with potential resource limitations. Moreover, the results identify critical risks (e.g., communication network disruptions, production facility-related risk, and increased demand for certain goods) and guarantee proper corrective measures for low-priority risks that appear critical only in specific uncertain circumstances. This enables managers to observe risk mitigation strategies to handle the negative consequences of disruptions within organizational constraints and improve sustainable supply chain responsiveness to future disasters.

Details

Date:
February 20
Time:
10:00 am - 2:00 pm

Additional Info

Registration/RSVP Required
Yes (see event description)
Event Type
Thesis Defence
Topic
Environment and Sustainability, Research and Innovation, Science, Technology and Engineering
Audiences
Alumni, Community, Faculty, Staff, Families, Partners and Industry, Students, Postdoctoral Fellows and Research Associates