Strategies to Counter Supply Chain Disruptions for FMCG Brands during a Pandemic

Abstract: The FMCG sector in developing nations is still not prepared to withstand any disruption brought on by the worldwide pandemic. In order to adapt to the new normal, businesses must make both micro and broad changes to their supply chain strategy. The goal of this research is to create plans to minimize any disruptions caused by upcoming pandemics. To restore the broken supply chain, a number of new implications and adjustments to the current attributes were proposed in the areas of sourcing, manufacturing, and distribution. Finding the fundamental drivers that are frequently impacted by the disturbance is part of the technique. The afflicted locations were the focus of the models' development. The ideas work as preventative measures intended to thwart the disturbance when and if it happens. In order to assess the model's viability, the Key Performance Indicators (KPI) value was ultimately retrieved with the aid of 25 industry experts. These suggestions may result in improved transparency, real-time monitoring, cost effectiveness, and responsiveness, among other benefits. Our analysis indicates that the KPI scores for procurement, production, and distribution are 92.86%, 82.14%, and 87.50%, respectively. The models' total viability is 87.50%. The most recent Covid-19 pandemic has provided us with a vivid illustration of what could go wrong in such circumstances. In both pandemic and non-pandemic conditions, the adaptation of stated suggestions at the aspect of sourcing, production, and distribution might result in a significant shift to organization-wide activities.

How to cite this paper

 Khayer, N., Rahul, J & Chakraborty, S. (2022). Strategies to Counter Supply Chain Disruptions for FMCG Brands during a Pandemic.Journal of Future Sustainability, 2(1), 9-16.

Refrences

FMCG Industry Review of Bangladesh (2019). Asia-Pacific Research Exchange. [Online]. Available: https://www.arx.cfa/~/media/F11888E401214D2696802E88B72DB141.ashx. [Accessed 11 06 2022].
Chen, J., Wang, H., & Zhong, R. Y. (2021). A supply chain disruption recovery strategy considering product change un-der COVID-19. Journal of Manufacturing Systems, 60, 920-927.
Salam, M. A., & Khan, S. A. (2018). Achieving supply chain excellence through supplier management: A case study of fast moving consumer goods. Benchmarking: An International Journal, 25(9), 4084-4102.
Mbhele, T. P., & Phiri, M. A. (2014). Understanding the phenomenon of Bullwhip effect in relation to supply chain strategies: FMCG industry. Mediterranean Journal of Social Sciences, 5(20), 570-570.
Hajdul, M., & Nowak, P. (2014). Innovative Approach To Collaboration In Joint Organization Of Transport Processes. Logforum, 10(1).
Matharage, S. T., Hewage, U., & Perera, H. N. (2020, December). Impact of sharing point of sales data and inventory in-formation on bullwhip effect. In 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 857-861). IEEE.
Dolgui, A., Ivanov, D., & Rozhkov, M. (2020). Does the ripple effect influence the bullwhip effect? An integrated anal-ysis of structural and operational dynamics in the supply chain. International Journal of Production Research, 58(5), 1285-1301.
Madhavi, B. R. H., & Wickramarachchi, R. (2021, September). Decision-making models for a resilient supply chain in FMCG companies during a pandemic: A systematic literature review. In 2021 International Research Conference on Smart Computing and Systems Engineering (SCSE) (Vol. 4, pp. 216-222). IEEE.
Rozhkov, M., & Ivanov, D. (2018). Contingency production-inventory control policy for capacity disruptions in the re-tail supply chain with perishable products. IFAC-PapersOnLine, 51(11), 1448-1452.
Gupta, S., Modgil, S., Meissonier, R., & Dwivedi, Y. K. (2021). Artificial Intelligence and Information System Resili-ence to Cope With Supply Chain Disruption. IEEE Transactions on Engineering Management.
Yang, Y., Pan, S., & Ballot, E. (2017). Mitigating supply chain disruptions through interconnected logistics services in the Physical Internet. International Journal of Production Research, 55(14), 3970-3983.
Nozari, H., Szmelter-Jarosz, A., & Ghahremani-Nahr, J. (2022). Analysis of the Challenges of Artificial Intelligence of Things (AIoT) for the Smart Supply Chain (Case Study: FMCG Industries). Sensors, 22(8), 2931.
Singh, S. (2018). What is the bullwhip effect and How do you minimize it?. Arkieva, 11 01 2018. [Online]. Available: https://blog.arkieva.com/what-is-bullwhip-effect/. [Accessed 11 06 2022].

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Journal of Future Sustainability

Strategies to Counter Supply Chain Disruptions for FMCG Brands during a Pandemic Pages 9-16 Download PDF

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