TY - GEN
T1 - Distribution of Facilities with a Focus on Industry 5.0
T2 - 6th International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024
AU - Sánchez, Santiago
AU - Tigre-Ortega, Franklin
AU - Rosero-Mantilla, César
AU - Sánchez, Carlos
AU - Tubón-Nuñez, Edith
AU - Morales, Luis
AU - Siguenza-Guzman, Lorena
AU - Lema, Freddy
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026
Y1 - 2026
N2 - In the context of a constantly evolving agribusiness, the distribution of facilities faces great challenges due to inefficient strategies and obsolete methods, negatively affecting the productivity and profitability of the sector. This article explores optimization strategies in the distribution of facilities in the agro-industrial sector, integrating the sustainability and resilience approaches of Industry 5.0. The study uses the ABC method to classify the most demanded products, based on sales history, making a demand forecast using the statistical time series analysis tool of the Minitab software. A diagnosis of the current facilities was carried out, finding areas for improvement such as the inefficient distribution of departments and placement of machinery. Based on the SLP method that allows a systematic and efficient distribution, a modern design for the production plant was proposed, including a relationship diagram and layout, which is modeled and simulated using the Flexsim software. The results indicate that by implementing demand forecasts through software, waste is reduced by not having overproduction, while systematic distribution planning together with modeling and simulation of the proposed design allows more precise planning and efficient operations, enabling quick adjustments and maintaining competitiveness in the market. This resulted in an 86% increase in the company’s resilience compared to its initial situation. This work provides a valuable framework to improve the distribution of facilities in agribusiness, aligned with the trends and demands of Industry 5.0.
AB - In the context of a constantly evolving agribusiness, the distribution of facilities faces great challenges due to inefficient strategies and obsolete methods, negatively affecting the productivity and profitability of the sector. This article explores optimization strategies in the distribution of facilities in the agro-industrial sector, integrating the sustainability and resilience approaches of Industry 5.0. The study uses the ABC method to classify the most demanded products, based on sales history, making a demand forecast using the statistical time series analysis tool of the Minitab software. A diagnosis of the current facilities was carried out, finding areas for improvement such as the inefficient distribution of departments and placement of machinery. Based on the SLP method that allows a systematic and efficient distribution, a modern design for the production plant was proposed, including a relationship diagram and layout, which is modeled and simulated using the Flexsim software. The results indicate that by implementing demand forecasts through software, waste is reduced by not having overproduction, while systematic distribution planning together with modeling and simulation of the proposed design allows more precise planning and efficient operations, enabling quick adjustments and maintaining competitiveness in the market. This resulted in an 86% increase in the company’s resilience compared to its initial situation. This work provides a valuable framework to improve the distribution of facilities in agribusiness, aligned with the trends and demands of Industry 5.0.
KW - Agribusiness
KW - Competitiveness
KW - Design
KW - Distribution
KW - Facilities
KW - Industry 5.0
UR - https://www.scopus.com/pages/publications/105027005932
U2 - 10.1007/978-3-031-98890-5_37
DO - 10.1007/978-3-031-98890-5_37
M3 - Contribución a la conferencia
AN - SCOPUS:105027005932
SN - 9783031988899
T3 - Lecture Notes in Networks and Systems
SP - 617
EP - 636
BT - Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024 - Volume 2
A2 - Garcia, Marcelo V.
A2 - Nuñez, Carlos
A2 - Gordón-Gallegos, Carlos
A2 - Reyes, John-Paul
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 21 October 2024 through 25 October 2024
ER -