Enhancing Supply Chain Resilience through Strategic Risk Management: A Multidimensional Approach
Afshar Uddin Jubayer¹
¹Department of Industrial and Production Engineering, American International University- Bangladesh (AIUB), Dhaka, Bangladesh. Email: 24-58405-2@student.aiub.edu
Md. Ehasanul Haque2
2Department of Industrial and Production Engineering, American International University-Bangladesh (AIUB), Dhaka, Bangladesh. Email: ehasanul@aiub.edu
Abstract
Growing global uncertainty and persistent supply-chain vulnerabilities make resilience a priority for Bangladesh. This study shows how strategic risk management (SRM) can strengthen resilience through a multidimensional lens. We assess resilience across financial, operational, technological, environmental, regulatory, and organisational domains by using a secondary literature review of 26 peer-reviewed articles and the MIT Supply Chain Management (SCM) framework. We identify major disruption drivers in digital immaturity, fragmented governance, and climate exposure, and evaluate proactive practices such as predictive analytics, blockchain integration, and cross-sector collaboration. Strategic levers, including intelligent redundancy, human–technology synergy, and collaborative risk ecosystems, emerge as key enablers. We also discuss barriers to data fragmentation, cost resilience tradeoffs, organisational inertia, and regulatory gaps, and outline policy and technology pathways to address them. The contribution is a multidimensional framework that adapts global resilience strategies to an emerging-economy context and points to future work on antifragility, ethical governance, and institutional learning. Overall, the findings underscore the need to embed resilience in national infrastructure planning and supply-chain policy so that Bangladesh can move from reactive structures to adaptive, forward-looking systems that learn and improve through disruption.
Keywords: Supply Chain Resilience; Strategic Risk Management; Multidimensional Framework; Emerging Economies; Predictive Analytics; Human–Technology Integration; Antifragility.