Open Collections

Ferdous, Oishwarjya

University of British Columbia

Recent disruptive 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 these increasing complexities, risk management strategies must balance operational efficiency with preparedness for unforeseen disruptions. The absence of effective strategies in supply chain management makes it challenging to uphold both resilience and sustainability in the face of ongoing 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 are subject to various uncertainties under disruption. Additionally, both subjective and flexible weights to the risk factors can introduce unreliability. Considering the uncertainty and reliable weight assignment helps organizations to 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 prioritization. Next, this study proposes a decision support framework with the robust value-based additive data envelopment analysis model to analyze disruption risks under uncertainty. The developed frameworks consider the significance of multiple risk factors (e.g., urgency and vulnerability) in the risk analysis to enhance supply chain resilience. The findings imply that the proposed frameworks offer a more reliable ranking compared to conventional techniques to sort potential disruption risks into different categories (e.g., critical and minimal) and empower managers to deal with potential resource limitations. Moreover, the identified critical risks (e.g., communication network disruptions and increased demand for certain goods from natural disasters) guarantee corrective mitigation measures for low-priority risks appeared critical only in specific circumstances. This enables managers to improve sustainable supply chain responsiveness to future disruption.

Text; Still Image

2025-03-17

Attribution-NonCommercial-NoDerivatives 4.0 International

http://hdl.handle.net/2429/90495

Mechanical Engineering

University of British Columbia

UBCO

http://creativecommons.org/licenses/by-nc-nd/4.0/