TY - GEN
T1 - Integration of Quick Response Manufacturing and Lean Manufacturing to increase on-time deliveries in a metal-mechanical company
AU - Adrianzen-Zamora, Odmer
AU - Saenz-Moron, Martin
N1 - Publisher Copyright:
© 2024 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2024
Y1 - 2024
N2 - Nowadays, companies sustain their permanence in the market with the satisfaction of their customers, and manufacturing companies, specifically those in the metal-mechanic sector, are no strangers to this. This is due to the fact that they have a method of working to order and a high variability of products with low volume, which leads to failure to meet delivery deadlines. Thus, in the field of industrial engineering, there is a percentage indicator that measures this problem. This is the "On Time Delivery" indicator which, with the efforts reviewed in the literature and success cases, is the most accurate for the analysis. The importance of solving this problem lies in the shortcomings of the models applied without a combined structure such as Quick Response Manufacturing and Lean Manufacturing. In this case study, a current value of 50.10% in orders with on-time delivery of the machining line was determined. This integrated model, post-validation, managed to increase the percentage of on-time deliveries to a final value of 91.07% (includes: final machine availability of 90.17%; Set-up time of 213.35 minutes and Cpk of 1.1651).
AB - Nowadays, companies sustain their permanence in the market with the satisfaction of their customers, and manufacturing companies, specifically those in the metal-mechanic sector, are no strangers to this. This is due to the fact that they have a method of working to order and a high variability of products with low volume, which leads to failure to meet delivery deadlines. Thus, in the field of industrial engineering, there is a percentage indicator that measures this problem. This is the "On Time Delivery" indicator which, with the efforts reviewed in the literature and success cases, is the most accurate for the analysis. The importance of solving this problem lies in the shortcomings of the models applied without a combined structure such as Quick Response Manufacturing and Lean Manufacturing. In this case study, a current value of 50.10% in orders with on-time delivery of the machining line was determined. This integrated model, post-validation, managed to increase the percentage of on-time deliveries to a final value of 91.07% (includes: final machine availability of 90.17%; Set-up time of 213.35 minutes and Cpk of 1.1651).
KW - Make to Order
KW - Manufacturing Systems
KW - Quick Response Manufacturing
KW - Single Minute Exchange of Die
KW - Total Productive Maintenance
UR - https://www.scopus.com/pages/publications/85217199892
U2 - 10.18687/LEIRD2024.1.1.572
DO - 10.18687/LEIRD2024.1.1.572
M3 - Contribución a la conferencia
AN - SCOPUS:85217199892
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
T2 - 4th LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2024
Y2 - 2 December 2024 through 4 December 2024
ER -