Digital Strategies and Policy Challenges in Healthcare and Food Supply Chain Resilience
DOI:
https://doi.org/10.61194/sijl.v2i3.729Keywords:
Logistics Resilience, Supply Chain Disruption, Digital Transformation, Institutional Adaptation, IoT and AI in Logistics, Global Crisis Response, Policy and Infrastructure ReformAbstract
In an era of increasingly frequent disruptions such as natural disasters, pandemics, and geopolitical conflicts, the resilience of logistics systems has become a pressing global concern. This narrative review explores how logistics resilience is operationalized and supported across diverse contexts, with a particular focus on digital transformation and cross-sectoral strategies. The review draws upon literature sourced from Scopus, PubMed, and Google Scholar, using targeted keywords to capture studies published within the last five years. The inclusion criteria emphasized peer-reviewed empirical research related to supply chain resilience, healthcare logistics, and food systems. Findings reveal that strategies such as supply chain diversification, decentralized infrastructure, and real-time monitoring via IoT and AI significantly enhance adaptive capacity. Blockchain and big data analytics further improve transparency, accountability, and decision-making speed. However, disparities across regions remain prominent, particularly due to limited infrastructure, policy constraints, and institutional fragmentation. These systemic barriers inhibit the implementation of resilient logistics in low- and middle-income countries. The discussion highlights the importance of context-specific adaptation, regulatory reform, and the alignment of institutional systems with digital innovation. The review concludes by calling for more comparative and interdisciplinary studies to fill empirical gaps and support the development of globally relevant policy and operational frameworks. Strengthening logistics resilience demands integrated strategies that bridge technology, governance, and localized practice.
References
Arciniegas, G., Wascher, D., Eyre, P., Sylla, M., Vicente‐Vicente, J., Świąder, M., … & Henriksen, C. (2022). A participatory tool for assessing land footprint in city-region food systems—a case study from metropolitan Copenhagen. Frontiers in Sustainable Food Systems, 6. https://doi.org/10.3389/fsufs.2022.846869 DOI: https://doi.org/10.3389/fsufs.2022.846869
Azam, M., Hasan, S., & Qureshi, S. (2023). Exploring the critical success factors of a resilient supply chain. Engineering Management in Production and Services, 15(1), 41-56. https://doi.org/10.2478/emj-2023-0004 DOI: https://doi.org/10.2478/emj-2023-0004
Benedito, E., Costa, C., & Rubio, S. (2020). Introducing risk considerations into the supply chain network design. Processes, 8(6), 743. https://doi.org/10.3390/pr8060743 DOI: https://doi.org/10.3390/pr8060743
Bernabei, M., Colabianchi, S., & Costantino, F. (2022). Actions and strategies for coronavirus to ensure supply chain resilience: a systemic review. Sustainability, 14(20), 13243. https://doi.org/10.3390/su142013243 DOI: https://doi.org/10.3390/su142013243
Fukumoto, R., Genda, Y., & Ishikawa, M. (2018). Characteristics of corporate contributions to the recovery of regional society from the great east Japan earthquake disaster. Sustainability, 10(6), 1717. https://doi.org/10.3390/su10061717 DOI: https://doi.org/10.3390/su10061717
Ghodake, S., Malkar, V., Santosh, K., Jabasheela, L., Abdufattokhov, S., & Gopi, A. (2024). Enhancing supply chain management efficiency: a data-driven approach using predictive analytics and machine learning algorithms. International Journal of Advanced Computer Science and Applications, 15(4). https://doi.org/10.14569/ijacsa.2024.0150469 DOI: https://doi.org/10.14569/IJACSA.2024.0150469
Grailey, K., Crespo, R., Howitt, P., Leis, M., Darzi, A., & Neves, A. (2024). The cost of living crisis – how does it impact the health and life of individuals? A survey exploring perceptions in Italy, Germany, Sweden and the United Kingdom. BMC Public Health, 24(1). https://doi.org/10.1186/s12889-024-19330-y DOI: https://doi.org/10.1186/s12889-024-19330-y
Heeres, T., Tran, T., & Noort, B. (2023). Drivers and barriers to implementing the internet of things in the health care supply chain: mixed methods multicase study. Journal of Medical Internet Research, 25, e48730. https://doi.org/10.2196/48730 DOI: https://doi.org/10.2196/48730
Johnson, A., Johnson, M., & Nagarur, N. (2021). Supply chain design under disruptions considering risk mitigation strategies for robustness and resiliency. International Journal of Logistics Systems and Management, 38(1), 1. https://doi.org/10.1504/ijlsm.2021.112448 DOI: https://doi.org/10.1504/IJLSM.2021.112448
Jomthanachai, S., Wong, W., Soh, K., & Lim, C. (2022). A global trade supply chain vulnerability in COVID-19 pandemic: an assessment metric of risk and resilience-based efficiency of CoDEA method. Research in Transportation Economics, 93, 101166. https://doi.org/10.1016/j.retrec.2021.101166 DOI: https://doi.org/10.1016/j.retrec.2021.101166
Khalil, M., Ravaghi, H., Samhouri, D., Abo, J., Ali, A., Sakr, H., … & Camacho, A. (2022). What is “hospital resilience”? A scoping review on conceptualization, operationalization, and evaluation. Frontiers in Public Health, 10. https://doi.org/10.3389/fpubh.2022.1009400 DOI: https://doi.org/10.3389/fpubh.2022.1009400
Khan, A., & Ali, Y. (2022). Enhancement of resilience and quality of cold supply chain under the disruptions caused by COVID-19: A case of a developing country. Australian Journal of Management, 48(2), 341-365. https://doi.org/10.1177/03128962221095596 DOI: https://doi.org/10.1177/03128962221095596
Lopes, J., Gomes, S., & Mané, L. (2022). Developing knowledge of supply chain resilience in less-developed countries in the pandemic age. Logistics, 6(1), 3. https://doi.org/10.3390/logistics6010003 DOI: https://doi.org/10.3390/logistics6010003
Maceín, J., González-Azcárate, M., Hewitt, R., Hernández-Jiménez, V., & Bardají, I. (2024). COVID and consumers’ food strategies in Madrid, Spain: Towards a resilient city-region food system approach. Heliyon, 10(23), e40565. https://doi.org/10.1016/j.heliyon.2024.e40565 DOI: https://doi.org/10.1016/j.heliyon.2024.e40565
Naim, M., & Gosling, J. (2022). Revisiting the whole systems approach: Designing supply chains in a turbulent world. The International Journal of Logistics Management, 34(1), 5-33. https://doi.org/10.1108/ijlm-02-2021-0121 DOI: https://doi.org/10.1108/IJLM-02-2021-0121
Negesse, A., Woyraw, W., Temesgen, H., Teka, Y., Yismaw, L., Akalu, T., … & Desalegn, B. (2022). Spatial exploration of non-resilience to food insecurity, its association with COVID-19 and household coping strategies in East Gojjam districts, northwest Ethiopia, 2020. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-19963-2 DOI: https://doi.org/10.1038/s41598-022-19963-2
Song, M., Ma, X., Zhao, X., & Zhang, L. (2022). How to enhance supply chain resilience: A logistics approach. The International Journal of Logistics Management, 33(4), 1408-1436. https://doi.org/10.1108/ijlm-04-2021-0211 DOI: https://doi.org/10.1108/IJLM-04-2021-0211
Tang, Y., Chau, K., Lau, Y., & Zheng, Z. (2023). Data-intensive inventory forecasting with artificial intelligence models for cross-border e-commerce service automation. Applied Sciences, 13(5), 3051. https://doi.org/10.3390/app13053051 DOI: https://doi.org/10.3390/app13053051
Fan, Z., Chen, Y., & Zhang, H. (2023). Charging strategy optimization and route planning for electric logistics vehicles. Transportation Research Part C: Emerging Technologies, 147, 103984. https://doi.org/10.1016/j.trc.2022.103984 DOI: https://doi.org/10.1016/j.trc.2022.103984
Weaver, G., Feddersen, B., Marla, L., Wei, D., Rose, A., & Moer, M. (2022). Estimating economic losses from cyber-attacks on shipping ports: an optimization-based approach. Transportation Research Part C Emerging Technologies, 137, 103423. https://doi.org/10.1016/j.trc.2021.103423 DOI: https://doi.org/10.1016/j.trc.2021.103423
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Copyright (c) 2024 Billy Lazuardi, Husni Muharam
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