TY - JOUR
T1 - Improving Efficiency
T2 - 23rd LACCEI International Multi-Conference for Engineering, Education and Technology, LACCEI 2025
AU - Contreras-Rios, Valerie
AU - Velásquez-Costa, José
N1 - Publisher Copyright:
© 2025 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2025
Y1 - 2025
N2 - The manufacturing industry plays a key role in global agri-food production, driven by sustained demand in several regions, especially in Latin America and Europe. Despite its importance, the industry faces critical operational challenges that impact efficiency, including high levels of input waste and extended cycle times in processes such as filling, sealing, and product sorting. This study presents a proposed improvement using an automatedsystemthat integrates Internet of Things (IoT) and Arduino technology to improve productivity in poultry feed production. The proposed system focuses on reducing resource waste and improving accuracy in packaging processes by implementing proximity sensors and real-time monitoring. This IoT-enabled approach reduces raw material waste by 15% and shortens cycle times by 18%, significantly increasing production efficiency. In addition, the use of distance sensors and Arduino-controlled pistons enables accurate sorting of containers by size, reducing sorting errors by 20% and improving operational consistency. The findings highlight that integrating automation and IoT into these processes not only optimizes the production flow, but also enables the poultry industry to meet growing market demands in a more sustainable way. Furthermore, this study demonstrates the adaptability of such an automated system to various productionenvironments, making it a replicable model for improving efficiency in different industries. By leveraging advanced technology, companies in the manufacturing sector can improve their competitive advantage, reduce reliance on manual labor, and move toward a more sustainable and resource-efficient operating model. This research underscores the importance of continuous innovation and technology adoption to drive productivity and sustainability in industrial sectors.
AB - The manufacturing industry plays a key role in global agri-food production, driven by sustained demand in several regions, especially in Latin America and Europe. Despite its importance, the industry faces critical operational challenges that impact efficiency, including high levels of input waste and extended cycle times in processes such as filling, sealing, and product sorting. This study presents a proposed improvement using an automatedsystemthat integrates Internet of Things (IoT) and Arduino technology to improve productivity in poultry feed production. The proposed system focuses on reducing resource waste and improving accuracy in packaging processes by implementing proximity sensors and real-time monitoring. This IoT-enabled approach reduces raw material waste by 15% and shortens cycle times by 18%, significantly increasing production efficiency. In addition, the use of distance sensors and Arduino-controlled pistons enables accurate sorting of containers by size, reducing sorting errors by 20% and improving operational consistency. The findings highlight that integrating automation and IoT into these processes not only optimizes the production flow, but also enables the poultry industry to meet growing market demands in a more sustainable way. Furthermore, this study demonstrates the adaptability of such an automated system to various productionenvironments, making it a replicable model for improving efficiency in different industries. By leveraging advanced technology, companies in the manufacturing sector can improve their competitive advantage, reduce reliance on manual labor, and move toward a more sustainable and resource-efficient operating model. This research underscores the importance of continuous innovation and technology adoption to drive productivity and sustainability in industrial sectors.
KW - Arduino
KW - Automatización
KW - IoT
KW - Producción
KW - Sector Avícola
UR - https://www.scopus.com/pages/publications/105019308576
U2 - 10.18687/LACCEI2025.1.1.975
DO - 10.18687/LACCEI2025.1.1.975
M3 - Artículo de la conferencia
AN - SCOPUS:105019308576
SN - 2414-6390
JO - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
JF - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
IS - 2025
Y2 - 16 July 2025 through 18 July 2025
ER -