TY - GEN
T1 - Application of Lean Manufacturing Tools to Reduce Downtime in a Small Metalworking Facility
AU - De-La-Cruz-Arcela, F. K.
AU - Martinez-Castillo, J. S.
AU - Altamirano-Flores, E.
AU - Alvarez-Merino, J. C.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - This article analyzes the extensive downtimes found throughout the process of manufacturing metal structures, and how to minimize them in order to increase productivity. The overall process includes welding, beveling, and transfer to the assembly area, the three of which were identified as the most critical, because they have the highest downtimes. This downtime is generated by several factors, among which are a lack of order and cleanliness in the various work stations, and the absence of mechanisms to control production. A proposal was developed to improve the process of manufacturing brick dryer screens using Lean Manufacturing tools such as Kanban and 5'S to reduce downtimes and increase the profitability of the company. The results obtained through a simulation in Arena Software show an overall reduction of downtime by 62%.
AB - This article analyzes the extensive downtimes found throughout the process of manufacturing metal structures, and how to minimize them in order to increase productivity. The overall process includes welding, beveling, and transfer to the assembly area, the three of which were identified as the most critical, because they have the highest downtimes. This downtime is generated by several factors, among which are a lack of order and cleanliness in the various work stations, and the absence of mechanisms to control production. A proposal was developed to improve the process of manufacturing brick dryer screens using Lean Manufacturing tools such as Kanban and 5'S to reduce downtimes and increase the profitability of the company. The results obtained through a simulation in Arena Software show an overall reduction of downtime by 62%.
KW - 5'S
KW - Brick drying screens
KW - Kanban
KW - Lean Manufacturing
KW - beveling
KW - simulation
UR - https://www.scopus.com/pages/publications/85079599247
U2 - 10.1109/IEEM44572.2019.8978711
DO - 10.1109/IEEM44572.2019.8978711
M3 - Contribución a la conferencia
AN - SCOPUS:85079599247
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 551
EP - 555
BT - 2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019
PB - IEEE Computer Society
T2 - 2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019
Y2 - 15 December 2019 through 18 December 2019
ER -