Enhancing Supply Chain Resilience: Proactive Strategies for Disruptive Events

Authors

  • Krishna Chaitanya Raja Hajarath
  • Jayapal Reddy Vummadi

DOI:

https://doi.org/10.47604/ijscm.2633

Keywords:

Resilience, Proactiv, Contingency, Risk Assessment, Implementation

Abstract

Purpose: This paper emphasizes the significance of proactive strategies in enhancing supply chain resilience against disruptions, focusing on natural disasters, geopolitical instability, and pandemics. Through risk assessment, scenario planning, and proactive measures like diversification, inventory optimization, and technology adoption, it proposes an integrated methodology for resilient supply chains.

Methodology: Drawing from literature and real-world examples, this study develops a framework for supply chain resilience, emphasizing contingency planning and implementation techniques.

Findings: The integrated methodology enhances companies' resilience and recovery capacity, mitigating the severity of disruption effects. Practical recommendations are offered for developing resilient supply chains in uncertain business environments.

Unique Contribution to Theory, Practice and Policy: This study contributes by offering actionable recommendations, bridging theory and practice, to fortify supply chains against instability and uncertainty, thereby advancing both theoretical understanding and practical applications in supply chain resilience planning.

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References

Akhtari, S., Sowlati, T., Siller-Benitez, D.G. and Roeser, D., 2019. Impact of inventory management on demand fulfilment, cost and emission of forest-based biomass supply chains using simulation modelling. Biosystems engineering, 178, pp.184-199.

Chung, S.H., 2021. Applications of smart technologies in logistics and transport: A review. Transportation Research Part E: Logistics and Transportation Review, 153, p.102455.

Coyle, J.J., Novack, R.A., Gibson, B.J. and Langley, C.J., 2021. Supply chain management: a logistics perspective. Cengage Learning.

Delina, R., Gróf, M. and Dráb, R., 2021. Understanding the determinants and specifics of pre-commercial procurement. Journal of theoretical and applied electronic commerce research, 16(2), pp.80-100.

Fan, W. and Geerts, F., 2022. Foundations of data quality management. Springer Nature.

Fuglie, K., Gautam, M., Goyal, A. and Maloney, W.F., 2019. Harvesting prosperity: Technology and productivity growth in agriculture. World Bank Publications.

Gani, M.O., Yoshi, T. and Rahman, M.S., 2023. Optimizing firm's supply chain resilience in data-driven business environment. Journal of Global Operations and Strategic Sourcing, 16(2), pp.258-281.

Hu, Y. and Ghadimi, P., 2023, June. A Review of Artificial Intelligence Application on Enhancing Resilience of Closed-loop Supply Chain. In 2023 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) (pp. 1-8). IEEE.

Huang, L., Song, J.S. and Swinney, R., 2022. Managing social responsibility in multitier supply chains. Manufacturing & Service Operations Management, 24(6), pp.2843-2862.

Kilimci, Z.H., Akyuz, A.O., Uysal, M., Akyokus, S., Uysal, M.O., Atak Bulbul, B. and Ekmis, M.A., 2019. An improved demand forecasting model using deep learning approach and proposed decision integration strategy for supply chain. Complexity, 2019.

Melkonyan, A., Gruchmann, T., Lohmar, F., Kamath, V. and Spinler, S., 2020. Sustainability assessment of last-mile logistics and distribution strategies: The case of local food networks. International Journal of Production Economics, 228, p.107746.

Pourghader Chobar, A., Adibi, M.A. and Kazemi, A., 2021. A novel multi-objective model for hub location problem considering dynamic demand and environmental issues. Journal of industrial engineering and management studies, 8(1), pp.1-31.

Ritter, T. and Pedersen, C.L., 2020. Digitization capability and the digitalization of business models in business-to-business firms: Past, present, and future. Industrial Marketing Management, 86, pp.180-190.

Sanders, N.R., 2020. Supply chain management: A global perspective. John Wiley & Sons.

Suthar, M. and Shukla, K.T., 2019. Effects of Pre-and Post-Deterioration Price Discounts on Selling Price. Optimization and Inventory Management, p.239.

Thazin, M.P. and Sakulbumrungsil, R., 2022. Analysis of pharmaceutical inventory management in a state hospital in Myanmar. The Thai Journal of Pharmaceutical Sciences, 46(2), pp.203-207.

Tien, N.H., Anh, D.B.H. and Thuc, T.D., 2019. Global supply chain and logistics management.

Xu, H., Zheng, H., Sun, D., Wang, M. and Ye, C., 2024. An Integrated Framework for Enablers in Supply Chain Resilience: Model Development and Analysis. IEEE Access, 12, pp.42490-42508.

Yakovleva, N., Frei, R. and Rama Murthy, S., 2019. Editorial introduction: Achieving sustainable development goals through sustainable supply chains in the post-global economy (pp. 1-9). Springer International Publishing.

Yazdani, M., Gonzalez, E.D. and Chatterjee, P., 2021. A multi-criteria decision-making framework for agriculture supply chain risk management under a circular economy context. Management Decision, 59(8), pp.1801-1826.

Zhou, J., Zhou, Y., Wang, B. and Zang, J., 2019. Human-cyber-physical systems (HCPSs) in the context of new-generation intelligent manufacturing. Engineering, 5(4), pp.624-636.

Patel, K.R., 2023. Enhancing Global Supply Chain Resilience: Effective Strategies for Mitigating Disruptions in an Interconnected World. BULLET: Jurnal Multidisiplin Ilmu, 2(1), pp.257-264.

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Published

2024-06-03

How to Cite

Hajarath, K., & Vummadi, J. (2024). Enhancing Supply Chain Resilience: Proactive Strategies for Disruptive Events. International Journal of Supply Chain Management, 9(3), 1–11. https://doi.org/10.47604/ijscm.2633

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Articles