AN EVALUATION OF SUPPLY CHAIN RESILIENCE STRATEGIES IN RESPONDING TO GLOBAL DISRUPTIONS IN THE MANUFACTURING AND DISTRIBUTION SECTORS
DOI:
https://doi.org/10.5281/zenodo.21128485Keywords:
supply chain resilience, global disruption, resilience strategies, industrial sector, distribution sector, literature reviewAbstract
Global disruptions such as the COVID-19 pandemic, geopolitical conflicts and logistics crises have caused significant disruption to industrial supply chains and global distribution. This study aims to evaluate supply chain resilience strategies in the face of global disruptions in the industrial and distribution sectors using a literature review approach. The research findings indicate that supply chain resilience comprises four key dimensions: robustness, flexibility, agility, and redundancy, with determining factors including digital capability, supply chain visibility, collaboration, supplier diversification, and government policy support. Evaluation strategies encompass redundancy, operational flexibility, digitalisation, collaboration, and regionalisation, with performance indicators including time to recover, fill rate, service level, cost efficiency, and supply continuity. The manufacturing sector requires capacity redundancy and flexible production, whilst the distribution sector requires routing flexibility and transport optimisation. Companies implementing adaptive strategies experienced a 30% reduction in disruption impacts, with supplier diversification reducing disruption time by 25% and digital adoption improving demand forecasting by 35%. Practical implications provide guidance for practitioners in developing adaptive strategies, with recommendations for further research focusing on AI-blockchain integration, green resilient supply chains, and standardised resilience indicators.
Downloads
References
Ali, I., Gligor, D., Balta, M., Bozkurt, S., & Papadopoulos, T. (2024). From disruption to innovation: The importance of the supply chain leadership style for driving logistics innovation in the face of geopolitical disruptions. Transportation Research Part E: Logistics and Transportation Review, 187, 103583. https://doi.org/10.1016/j.tre.2024.103583
Bednarski, L., Roscoe, S., Blome, C., & Schleper, M. C. (2025). Geopolitical disruptions in global supply chains: A state-of-the-art literature review. Production Planning & Control, 36(4), 536–562. https://doi.org/10.1080/09537287.2023.2286283
Belhadi, A., Kamble, S. S., Venkatesh, M., Chiappetta Jabbour, C. J., & Benkhati, I. (2022). Building supply chain resilience and efficiency through additive manufacturing: An ambidextrous perspective on the dynamic capability view. International Journal of Production Economics, 249, 108516. https://doi.org/10.1016/j.ijpe.2022.108516
Boone, T., Fahimnia, B., Ganeshan, R., Herold, D. M., & Sanders, N. R. (2025). Generative AI: Opportunities, challenges, and research directions for supply chain resilience. Transportation Research Part E: Logistics and Transportation Review, 199, 104135. https://doi.org/10.1016/j.tre.2025.104135
Dabbous, A., Merhej Sayegh, M., Aoun Barakat, K., & Veglianti, E. (2026). Corporate artificial intelligence readiness and its contribution to supply chain resilience: Insights from complexity theory. International Journal of Production Research, 64(6), 2331–2353. https://doi.org/10.1080/00207543.2025.2578299
Eliyah, E., & Aslan, A. (2025). STAKE’S EVALUATION MODEL: METODE PENELITIAN. Prosiding Seminar Nasional Indonesia, 3(2), Article 2.
Garcia-Herreros, P., Wassick, J. M., & Grossmann, I. E. (2014). Design of Resilient Supply Chains with Risk of Facility Disruptions. Industrial & Engineering Chemistry Research, 53(44), 17240–17251. https://doi.org/10.1021/ie5004174
Golgeci, I., Roscoe, S., Gligor, D. M., & Oh, C. H. (2025). Advancing the sociopolitical view of supply chain management. International Journal of Operations & Production Management, 45(5), 955–984. https://doi.org/10.1108/IJOPM-03-2025-0175
Hao, J., Hildebrandt, A., Morgan, T. R., & Richey, R. G. (2025). The impact of radio frequency identification technology utilization on supply chain transparency and agility dimensions of the responsiveness view. The International Journal of Logistics Management, 37(2), 316–339. https://doi.org/10.1108/IJLM-08-2024-0507
Katsaliaki, K., Galetsi, P., & Kumar, S. (2022). Supply chain disruptions and resilience: A major review and future research agenda. Annals of Operations Research, 319(1), 965–1002. https://doi.org/10.1007/s10479-020-03912-1
Kazancoglu, I., Ozbiltekin-Pala, M., Kumar Mangla, S., Kazancoglu, Y., & Jabeen, F. (2022). Role of flexibility, agility and responsiveness for sustainable supply chain resilience during COVID-19. Journal of Cleaner Production, 362, 132431. https://doi.org/10.1016/j.jclepro.2022.132431
Khan, S. A. R., Sheikh, A. A., Shamsi, I. R. A., & Yu, Z. (2025). The Implications of Artificial Intelligence for Small and Medium-Sized Enterprises’ Sustainable Development in the Areas of Blockchain Technology, Supply Chain Resilience, and Closed-Loop Supply Chains. Sustainability, 17(1), 334. https://doi.org/10.3390/su17010334
Moradlou, H., Skipworth, H., Bals, L., Aktas, E., & Roscoe, S. (2024). Geopolitical disruptions and supply chain structural ambidexterity. International Journal of Operations & Production Management, 45(4), 836–862. https://doi.org/10.1108/IJOPM-11-2023-0915
Shen, Z. M., & Sun, Y. (2023). Strengthening supply chain resilience during COVID-19: A case study of JD.com. Journal of Operations Management, 69(3), 359–383. https://doi.org/10.1002/joom.1161
Tiwari, M., Bryde, D. J., Stavropoulou, F., Dubey, R., Kumari, S., & Foropon, C. (2024). Modelling supply chain Visibility, digital Technologies, environmental dynamism and healthcare supply chain Resilience: An organisation information processing theory perspective. Transportation Research Part E: Logistics and Transportation Review, 188, 103613. https://doi.org/10.1016/j.tre.2024.103613
Tsolakis, N., Schumacher, R., Dora, M., & Kumar, M. (2023). Artificial intelligence and blockchain implementation in supply chains: A pathway to sustainability and data monetisation? Annals of Operations Research, 327(1), 157–210. https://doi.org/10.1007/s10479-022-04785-2
Xu, W., Qin, C., Kang, Y., Yang, Z., & Li, Q. (2026). Digital economy and supply chain resilience. International Review of Economics & Finance, 105, 104848. https://doi.org/10.1016/j.iref.2025.104848
Yuan, Y., Tan, H., & Liu, L. (2023). The effects of digital transformation on supply chain resilience: A moderated and mediated model. Journal of Enterprise Information Management, 37(2), 488–510. https://doi.org/10.1108/JEIM-09-2022-0333
Zamani, E. D., Smyth, C., Gupta, S., & Dennehy, D. (2023). Artificial intelligence and big data analytics for supply chain resilience: A systematic literature review. Annals of Operations Research, 327(2), 605–632. https://doi.org/10.1007/s10479-022-04983-y
Zed, M. (2008). Metode Penelitian Kepustakaan. Yayasan Pustaka Obor Indonesia.
Zheng, L. J., Islam, N., Zhang, J. Z., Behl, A., Wang, X., & Papadopoulos, T. (2025). Aligning risk and value creation: A process model of supply chain risk management in geopolitical disruptions. International Journal of Operations & Production Management, 45(5), 1178–1210. https://doi.org/10.1108/IJOPM-03-2024-0271
