TY - GEN
T1 - Model to improve the efficiency in the extrusion area in a manufacturing sme of the industrial plastic sector based on smed, autonomous maintenance and 5s
AU - Arroyo-Huayta, Carlos
AU - Cruces-Raimudis, Sebastian
AU - Viacava-Campos, Gino
AU - Leon-Chávarri, Claudia
AU - Aderhold, Daniel
N1 - Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.
PY - 2021
Y1 - 2021
N2 - At present, companies in the Peruvian plastic sector have an average capacity utilization indicator of 71.45%. However, in Peru many SMEs are with 50% well below this indicator. After a study performed in a representative company of the Peruvian plastic sector, the causes of low efficiency in resource utilization were determined through a problems tree and a Pareto analysis. These causes are failures, reprocesses and Setup times in the extrusion machines, taking around 1008 h a year to solve these problems. This article proposes a model to improve efficiency, integrating Lean Manufacturing tools such as 5s, SMED, and autonomous maintenance. The first one was used as a support tool, while SMED was used to reduce the configuration time and autonomous maintenance to reduce the failures number and the reprocesses number. The model was validated through a case study, obtaining as results the reduction of the setup time by 50%, breakdowns by 50% and reprocesses by 60%.
AB - At present, companies in the Peruvian plastic sector have an average capacity utilization indicator of 71.45%. However, in Peru many SMEs are with 50% well below this indicator. After a study performed in a representative company of the Peruvian plastic sector, the causes of low efficiency in resource utilization were determined through a problems tree and a Pareto analysis. These causes are failures, reprocesses and Setup times in the extrusion machines, taking around 1008 h a year to solve these problems. This article proposes a model to improve efficiency, integrating Lean Manufacturing tools such as 5s, SMED, and autonomous maintenance. The first one was used as a support tool, while SMED was used to reduce the configuration time and autonomous maintenance to reduce the failures number and the reprocesses number. The model was validated through a case study, obtaining as results the reduction of the setup time by 50%, breakdowns by 50% and reprocesses by 60%.
KW - 5s
KW - Autonomous maintenance
KW - Efficiency
KW - Extrusion
KW - Lean Manufacturing
KW - Plastics industry
KW - SMED
UR - https://www.scopus.com/pages/publications/85089622090
U2 - 10.1007/978-3-030-55307-4_83
DO - 10.1007/978-3-030-55307-4_83
M3 - Contribución a la conferencia
AN - SCOPUS:85089622090
SN - 9783030553067
T3 - Advances in Intelligent Systems and Computing
SP - 545
EP - 551
BT - Human Interaction, Emerging Technologies and Future Applications III - Proceedings of the 3rd International Conference on Human Interaction and Emerging Technologies
A2 - Ahram, Tareq
A2 - Taiar, Redha
A2 - Langlois, Karine
A2 - Choplin, Arnaud
PB - Springer
T2 - 3rd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET 2020
Y2 - 27 August 2020 through 29 August 2020
ER -