Technological Model Based on Big Data for Good Supply Chain Management in Agribusinesses
Authors: 
Marco Antonio Campos Contreras, Cristian AndréS Palomino Jaime, Jean Carlos Pantoja Vega, Pedro Segundo CastañEda Vargas, Diego Ricardo Cajachagua GuerrerosAuthors Info & Claims
Marco Antonio Campos Contreras, Cristian AndréS Palomino Jaime, Jean Carlos Pantoja Vega, Pedro Segundo CastañEda Vargas, Diego Ricardo Cajachagua GuerrerosAuthors Info & ClaimsAbstract
Agribusiness is important to the global economy, but poor supply chain management can lead to losses and reduced customer satisfaction, which is why big data offers an opportunity to improve supply chain management in these sectors through big data-based technology models that focus on capturing, storing and analyzing big data to improve decision making in supply chain management. This big data improves communication and collaboration between the various players in the supply chain, resulting in better coordination and faster response to changing business requirements. Using real-time data and machine learning algorithms that can make better decisions and increase production and delivery efficiency. As a result, the technology model based on big data brings many benefits to supply chain management in the agri-food industry, such as product quality and transportation planning, accurate information, and time-based decisions, improving product quality and customer satisfaction. Concluding that this system can be applied in an optimal way, seeing that it is a system that generates a lot of costs, but in the future it is possible to see the adequate recovery periods.
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Published In
June 2023
293 pages
ISBN:9798400707919
DOI:10.1145/3608251
Copyright © 2023 ACM.
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Published: 17 August 2023
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ICCMS 2023
ICCMS 2023: 2023 The 15th International Conference on Computer Modeling and Simulation
June 16 - 18, 2023
Dalian, China
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