TY - GEN
T1 - Lean Six Sigma and TPM for the Improvement of Equipment Maintenance Process in a Service Sector Company
T2 - 5th International Conference on Industrial Engineering and Industrial Management, IEIM 2024
AU - Barriga, Ana Laura
AU - Gonzales, Maria Gimena
AU - Ruiz-Ruiz, Marcos Fernando
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - Currently, competitiveness within the service industry has reached outstanding levels. In the pursuit of increasing the quality and efficiency of services, the approaches of continuous improvement acquire undeniable relevance. This research aimed to implement, analyze, and assess the effects of Lean Six Sigma (LSS) methodology within the service industry for process optimization through Total Productive Maintenance (TPM). The presented case study is a workshop for equipment maintenance where, through the DMAIC methodological design, Lean Six Sigma and TPM methodologies were implemented to increase process efficiency. The results show an efficiency increase of over 10%, reducing equipment DPMO by 53% and decreasing the total process time by 2 h. The value of the proposed model lies in its adaptability to companies providing technological equipment services in the regional context, as well as its contribution to recent studies on the application of TPM and LSS in the service sector.
AB - Currently, competitiveness within the service industry has reached outstanding levels. In the pursuit of increasing the quality and efficiency of services, the approaches of continuous improvement acquire undeniable relevance. This research aimed to implement, analyze, and assess the effects of Lean Six Sigma (LSS) methodology within the service industry for process optimization through Total Productive Maintenance (TPM). The presented case study is a workshop for equipment maintenance where, through the DMAIC methodological design, Lean Six Sigma and TPM methodologies were implemented to increase process efficiency. The results show an efficiency increase of over 10%, reducing equipment DPMO by 53% and decreasing the total process time by 2 h. The value of the proposed model lies in its adaptability to companies providing technological equipment services in the regional context, as well as its contribution to recent studies on the application of TPM and LSS in the service sector.
UR - https://www.scopus.com/pages/publications/85189511837
U2 - 10.1007/978-3-031-56373-7_13
DO - 10.1007/978-3-031-56373-7_13
M3 - Articulo (Contribución a conferencia)
AN - SCOPUS:85189511837
SN - 9783031563720
T3 - Communications in Computer and Information Science
SP - 155
EP - 169
BT - Industrial Engineering and Industrial Management - 5th International Conference, IEIM 2024, Proceedings
A2 - Sheu, Shey-Huei
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 10 January 2024 through 12 January 2024
ER -