Contingency plan in the supply chain of companies in the retail industry in the face of the impacts of COVID-19

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Abstract

The main issue that is being presented in 2020 is the impact that all organizations are having due to the COVID-19 pandemic, and it is not for less given the global collapse that is occurring in all aspects. Many organizations have been affected by this catastrophe and in the face of an unforeseen scenario, the disruptions in the different supply chains have revealed the lack of some essential products for human consumption. For organizations that are looking for alternatives of what to do and that are constantly analyzing how to reinvent their processes to mitigate the impacts of the pandemic and thus stay current during the contingency, they have before them the challenge of strengthening their supply chains, however It is difficult to think that the contagion of this virus that has brought the great powers of the planet to their knees, collapsing their productive, economic and especially health systems. This research aims to propose a model that allows the development of an action plan in the event of the COVID-19 contingency in the sector of companies classified as essential, such as the retail industry. It is not enough to have well-defined and structured processes, these must also be dynamic and interconnected to privilege the distribution of essential products and for this it is important to be clear about the pillars of supply chain management and the key elements that they proposed. Organizations must learn to protect their supply chains and to achieve it research offers a perspective on how to assess the level of risk of the processes of the retail industry and thus have identified the opportunities that will have to improve to build a resilient supply chain and strengthened.

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APA

Montoya, C. J. R., & Flores, J. L. M. (2021). Contingency plan in the supply chain of companies in the retail industry in the face of the impacts of COVID-19. Advances in Science, Technology and Engineering Systems, 6(1), 819–832. https://doi.org/10.25046/aj060191

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