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.
|Idioma original||Inglés estadounidense|
|Título de la publicación alojada||Proceedings of ICCMS 2023 - 15th International Conference on Computer Modeling and Simulation|
|Editorial||Association for Computing Machinery|
|ISBN (versión digital)||9798400707919|
|Estado||Indizado - 16 jun. 2023|
|Evento||15th International Conference on Computer Modeling and Simulation, ICCMS 2023 - Dalian, China|
Duración: 16 jun. 2023 → 18 jun. 2023
Serie de la publicación
|Nombre||ACM International Conference Proceeding Series|
|Conferencia||15th International Conference on Computer Modeling and Simulation, ICCMS 2023|
|Período||16/06/23 → 18/06/23|
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