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%.
CITATION STYLE
Arroyo-Huayta, C., Cruces-Raimudis, S., Viacava-Campos, G., Leon-Chávarri, C., & Aderhold, D. (2021). 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. In Advances in Intelligent Systems and Computing (Vol. 1253 AISC, pp. 545–551). Springer. https://doi.org/10.1007/978-3-030-55307-4_83
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