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Risks and resilient strategies in agro-industrial supply chains - a scoping review 2013-2023

Parra-Hernández Nora Amalia, García-Santamaría Luis Enrique, Fernández-Echeverría Eduardo, Fernández-Lambert Gregorio, Martínez-Mendoza Eduardo

LogForum

2024

Vol. 20, no. 1

39--54

Background: Logistics chains operate in environments prone to a range of internal and external instabilities, necessitating the constant management of logistics risks and the reinforcement of resilience, particularly in the face of complex challenges like the COVID-19 crisis. Despite the perishable nature of agricultural commodities and their significant economic and social impacts, there is a noticeable scarcity of research on this topic, especially in the Latin American context. This study aims to bridge this gap by specifically concentrating on identifying prevalent risks, strategies, and methods to enhance the resilience of the agro-industrial supply chain (Agroindustrial-SC). Methods: Scientific databases were reviewed under the guidelines of the PRISMA declaration; 59 studies from 2013–2023 were reviewed and synthesized to understand the current state of the methods and strategies for measuring resilience in Agroindustrial-SC. We focused on two main groups: before and after the COVID-19 crisis in Latin America, the US, and the other continents. We used Mendeley® and Vosviewer® software to organize and classify the information and build bibliometric maps. Results: In 2018-2021, the highest job activity was identified in Europe and North America. Only six countries have contributed to this field of study in Latin America. In this period of study, the academic community has most frequently focused on reducing the impact of biological, environmental, and financial risks and on defining strategies for these impacts supported by deterministic and quantitative methods with a statistical approach and stochastic programming to assess the resilience and risk of Agroindustrial-SC, although in recent years the qualitative approach has been incorporated into heuristic methods. Conclusions: These results are especially useful for the design of resilient infrastructure systems in the Agroindustrial-SC. To the extent that the Agroindustrial-SC incorporates the digital transformation, it will be able to open and evolve its production processes and business models towards new resilient forms of relationship with suppliers and customers.