TY - GEN
T1 - Increased productivity through a production management model with Lean Six Sigma (LSS) in the glass industry
AU - Morales-Mercado, Grecia Nathaly
AU - Meza-Soto, Lesly Marilu
AU - Quiroz-Flores, Juan Carlos
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/1/9
Y1 - 2023/1/9
N2 - The Peruvian glass industries' main problem is that they present constant problems in their production process, which negatively impacts their productivity. Therefore, this is due to the need for more implementation of continuous improvement methodologies in the organization. Therefore, this research sought to increase productivity by reducing waste and paralyzed orders in the production process due to poor maintenance of machinery and errors generated by the workforce. That is why it was proposed to implement an improvement model in production processes focused on solving labor and machinery problems using the Lean Six Sigma methodology through the steps of DMAIC, using tools such as TPM, BPM, and standardized work. As a result, after the implementation of the model, it was possible to increase productivity by more than 15%, reduce the percentage of waste by less than 4.5% and reduce the number of paralyzed orders in the production process by 10%.
AB - The Peruvian glass industries' main problem is that they present constant problems in their production process, which negatively impacts their productivity. Therefore, this is due to the need for more implementation of continuous improvement methodologies in the organization. Therefore, this research sought to increase productivity by reducing waste and paralyzed orders in the production process due to poor maintenance of machinery and errors generated by the workforce. That is why it was proposed to implement an improvement model in production processes focused on solving labor and machinery problems using the Lean Six Sigma methodology through the steps of DMAIC, using tools such as TPM, BPM, and standardized work. As a result, after the implementation of the model, it was possible to increase productivity by more than 15%, reduce the percentage of waste by less than 4.5% and reduce the number of paralyzed orders in the production process by 10%.
UR - https://www.scopus.com/pages/publications/85162927001
U2 - 10.1145/3587889.3587970
DO - 10.1145/3587889.3587970
M3 - Contribución a la conferencia
AN - SCOPUS:85162927001
T3 - ACM International Conference Proceeding Series
SP - 148
EP - 154
BT - Proceedings of the 2023 10th International Conference on Industrial Engineering and Applications, ICIEA-EU 2023
PB - Association for Computing Machinery
T2 - 10th International Conference on Industrial Engineering and Applications, ICIEA-EU 2023
Y2 - 9 January 2023 through 11 January 2023
ER -