Production process optimization model to increase productivity of microenterprises in the industrial chemical sector using 5s and tpm
El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. === The industrial chemical sector has grown during the last years in the Peruvian market, becoming highly competitive since it represents the second m...
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ndltd-PERUUPC-oai-repositorioacademico.upc.edu.pe-10757-6560172021-05-19T05:11:30Z Production process optimization model to increase productivity of microenterprises in the industrial chemical sector using 5s and tpm Chancahuana-Palomino, Leonardo Ortiz-Licas, Alondra Altamirano-Flores, Ernesto Aderhold, Daniel 5S Industrial chemical sector Productivity TPM El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. The industrial chemical sector has grown during the last years in the Peruvian market, becoming highly competitive since it represents the second main activity in the manufacturing industry. However, companies belonging to the sector have experienced a decrease in productivity, since it has a lower production rate than other economic sectors. This paper presents a model for increasing the productivity of companies in the sector. For this, the 5S and TPM techniques will be used sequentially. First, 5S techniques are applied to reorder the working area and to create a clean and safe environment for operating personnel. Then, the TPM technique is used to focus on reducing the deficiencies that machines present through preventive maintenance and raise awareness and involve operational personnel in the daily activities of autonomous maintenance. For validation of the model, a simulation with the software Arena is performed. Results show an increase of about 15% in productivity, the cycle time reduces by 14%, the OEE will increase by 24% and daily production by 15% in the paint line. 2021-05-17T21:14:36Z 2021-05-17T21:14:36Z 2021-01-01 info:eu-repo/semantics/article 21945357 10.1007/978-3-030-55307-4_75 http://hdl.handle.net/10757/656017 21945365 Advances in Intelligent Systems and Computing 2-s2.0-85089628360 SCOPUS_ID:85089628360 0000 0001 2196 144X eng https://link.springer.com/chapter/10.1007/978-3-030-55307-4_75 info:eu-repo/semantics/embargoedAccess application/html Springer Universidad Peruana de Ciencias Aplicadas (UPC) Repositorio Académico - UPC Advances in Intelligent Systems and Computing 1253 AISC 493 498 |
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5S Industrial chemical sector Productivity TPM |
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5S Industrial chemical sector Productivity TPM Chancahuana-Palomino, Leonardo Ortiz-Licas, Alondra Altamirano-Flores, Ernesto Aderhold, Daniel Production process optimization model to increase productivity of microenterprises in the industrial chemical sector using 5s and tpm |
description |
El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. === The industrial chemical sector has grown during the last years in the Peruvian market, becoming highly competitive since it represents the second main activity in the manufacturing industry. However, companies belonging to the sector have experienced a decrease in productivity, since it has a lower production rate than other economic sectors. This paper presents a model for increasing the productivity of companies in the sector. For this, the 5S and TPM techniques will be used sequentially. First, 5S techniques are applied to reorder the working area and to create a clean and safe environment for operating personnel. Then, the TPM technique is used to focus on reducing the deficiencies that machines present through preventive maintenance and raise awareness and involve operational personnel in the daily activities of autonomous maintenance. For validation of the model, a simulation with the software Arena is performed. Results show an increase of about 15% in productivity, the cycle time reduces by 14%, the OEE will increase by 24% and daily production by 15% in the paint line. |
author |
Chancahuana-Palomino, Leonardo Ortiz-Licas, Alondra Altamirano-Flores, Ernesto Aderhold, Daniel |
author_facet |
Chancahuana-Palomino, Leonardo Ortiz-Licas, Alondra Altamirano-Flores, Ernesto Aderhold, Daniel |
author_sort |
Chancahuana-Palomino, Leonardo |
title |
Production process optimization model to increase productivity of microenterprises in the industrial chemical sector using 5s and tpm |
title_short |
Production process optimization model to increase productivity of microenterprises in the industrial chemical sector using 5s and tpm |
title_full |
Production process optimization model to increase productivity of microenterprises in the industrial chemical sector using 5s and tpm |
title_fullStr |
Production process optimization model to increase productivity of microenterprises in the industrial chemical sector using 5s and tpm |
title_full_unstemmed |
Production process optimization model to increase productivity of microenterprises in the industrial chemical sector using 5s and tpm |
title_sort |
production process optimization model to increase productivity of microenterprises in the industrial chemical sector using 5s and tpm |
publisher |
Springer |
publishDate |
2021 |
url |
http://hdl.handle.net/10757/656017 |
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