TY - GEN
T1 - TPM, SMED and 5S model to increase efficiency in an automated production line for a company in the food sector
AU - Barbieri-Silva, Stephano
AU - Flores-Perez, Alberto
AU - Alvarez, Jose C.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Currently, a great challenge for Peruvian companies is to face industrial evolution due to the need to continuously improve in order to increase the production of products and thus stand out from the competition. It requires a high level of commitment and implies constant research, trial and error in any situation, especially when it comes to machines and the search to solve their problems. The various studies for this type of situation propose different ways of covering it, among them, the Lean Manufacturing methodology. Previous studies have shown that mechanical stoppages due to breakdowns are a recurring element in production plants, as well as machine obstructions and excessive time to make a tool change. Those problems cause instability and production losses. Based on this, the present research seeks to improve the operation of the machines using the Lean Manufacturing methodology. For this, the results of a solution model were proposed, evaluated and estimated, which focused on creating a work discipline with the 5S tool, increasing production availability by 39% through the SMED tool, followed by TPM (Pillar II) Autonomous Maintenance where the obstructions decreased by 42% and the production capacity was increased based on the TPM (Pillar III) Planned Maintenance by 26%. Based on the Arena simulation software, it is estimated that this model would improve the OEE efficiency of a food production line from 83.17% to 93.14% and significantly reduce the magnitude of the problems. This report aims to provide a solution method for industries in the field that have low efficiency.
AB - Currently, a great challenge for Peruvian companies is to face industrial evolution due to the need to continuously improve in order to increase the production of products and thus stand out from the competition. It requires a high level of commitment and implies constant research, trial and error in any situation, especially when it comes to machines and the search to solve their problems. The various studies for this type of situation propose different ways of covering it, among them, the Lean Manufacturing methodology. Previous studies have shown that mechanical stoppages due to breakdowns are a recurring element in production plants, as well as machine obstructions and excessive time to make a tool change. Those problems cause instability and production losses. Based on this, the present research seeks to improve the operation of the machines using the Lean Manufacturing methodology. For this, the results of a solution model were proposed, evaluated and estimated, which focused on creating a work discipline with the 5S tool, increasing production availability by 39% through the SMED tool, followed by TPM (Pillar II) Autonomous Maintenance where the obstructions decreased by 42% and the production capacity was increased based on the TPM (Pillar III) Planned Maintenance by 26%. Based on the Arena simulation software, it is estimated that this model would improve the OEE efficiency of a food production line from 83.17% to 93.14% and significantly reduce the magnitude of the problems. This report aims to provide a solution method for industries in the field that have low efficiency.
KW - 5S
KW - Lean Manufacturing
KW - SMED
KW - TPM
UR - https://www.scopus.com/pages/publications/85143685008
U2 - 10.1109/CONIITI57704.2022.9953721
DO - 10.1109/CONIITI57704.2022.9953721
M3 - Contribución a la conferencia
AN - SCOPUS:85143685008
T3 - 2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Conference Proceedings
BT - 2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Conference Proceedings
A2 - Morales, Victor Manuel Fontalvo
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022
Y2 - 5 October 2022 through 7 October 2022
ER -