TY - GEN
T1 - Increase in Operational Availability in Agricultural Fertilizer Production
T2 - 4th LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2024
AU - Aranda-Gonzales, Kenshin
AU - Sanchez-Gutierrez, Andrea
AU - Saenz-Moron, Martín
N1 - Publisher Copyright:
© 2024 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2024
Y1 - 2024
N2 - In this research, we aim to enhance production availability in an agricultural company specializing in fertilizers, including products like boric acid, 85% phosphoric acid, potassium chloride, and ammonium nitrate. The focus is on optimizing the production line of the top-selling fertilizer, potassium chloride. The project addresses equipment availability issues within the production process, with the main goal of reducing downtime and improving efficiency. To achieve this, we employ Total Productive Maintenance (TPM) methodology combined with Internet of Things (IoT) technology. TPM aims to maximize operational efficiency through preventive maintenance, employee involvement, and continuous improvement, while IoT enables real-time monitoring of equipment conditions, gathering data on critical factors like vibration, lubrication, wear, and temperature. By integrating these approaches, we aim to significantly enhance equipment availability, reduce downtime, and optimize operational efficiency in fertilizer production. The study results, validated through simulation, show a 2.55% increase in overall process availability, a monthly productivity boost of about 20.48 tons, and a reduction in economic losses per year. Additionally, there was a 7.26% and 5.41% increase in the availability of critical equipment, demonstrating the effectiveness of these methods and their potential application to other production lines, leading to improved sustainability and profitability for the company.
AB - In this research, we aim to enhance production availability in an agricultural company specializing in fertilizers, including products like boric acid, 85% phosphoric acid, potassium chloride, and ammonium nitrate. The focus is on optimizing the production line of the top-selling fertilizer, potassium chloride. The project addresses equipment availability issues within the production process, with the main goal of reducing downtime and improving efficiency. To achieve this, we employ Total Productive Maintenance (TPM) methodology combined with Internet of Things (IoT) technology. TPM aims to maximize operational efficiency through preventive maintenance, employee involvement, and continuous improvement, while IoT enables real-time monitoring of equipment conditions, gathering data on critical factors like vibration, lubrication, wear, and temperature. By integrating these approaches, we aim to significantly enhance equipment availability, reduce downtime, and optimize operational efficiency in fertilizer production. The study results, validated through simulation, show a 2.55% increase in overall process availability, a monthly productivity boost of about 20.48 tons, and a reduction in economic losses per year. Additionally, there was a 7.26% and 5.41% increase in the availability of critical equipment, demonstrating the effectiveness of these methods and their potential application to other production lines, leading to improved sustainability and profitability for the company.
KW - Fertilizers
KW - Internet of Things (IoT)
KW - Machinery Availability
KW - Optimization
KW - TPM Methodology
UR - https://www.scopus.com/pages/publications/85217197003
U2 - 10.18687/LEIRD2024.1.1.571
DO - 10.18687/LEIRD2024.1.1.571
M3 - Contribución a la conferencia
AN - SCOPUS:85217197003
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - Proceedings of the 4th LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development
A2 - Larrondo Petrie, Maria M.
A2 - Texier, Jose
A2 - Matta, Rodolfo Andres Rivas
PB - Latin American and Caribbean Consortium of Engineering Institutions
Y2 - 2 December 2024 through 4 December 2024
ER -