TY - GEN
T1 - Technological Model Based on Big Data for Good Supply Chain Management in Agribusinesses
AU - Campos Contreras, Marco Antonio
AU - Palomino Jaime, Cristian AndréS
AU - Pantoja Vega, Jean Carlos
AU - Castañeda Vargas, Pedro Segundo
AU - Cajachagua Guerreros, Diego Ricardo
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/6/16
Y1 - 2023/6/16
N2 - 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.
AB - 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.
KW - Big Data
KW - Modeling
KW - Processes
KW - Supply chain
UR - https://www.scopus.com/pages/publications/85169811277
U2 - 10.1145/3608251.3608257
DO - 10.1145/3608251.3608257
M3 - Contribución a la conferencia
AN - SCOPUS:85169811277
T3 - ACM International Conference Proceeding Series
SP - 190
EP - 196
BT - Proceedings of ICCMS 2023 - 15th International Conference on Computer Modeling and Simulation
PB - Association for Computing Machinery
T2 - 15th International Conference on Computer Modeling and Simulation, ICCMS 2023
Y2 - 16 June 2023 through 18 June 2023
ER -