Abstract
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.
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Chancahuana-Palomino, L., Ortiz-Licas, A., Altamirano-Flores, E., Aderhold, D. (2021). Production Process Optimization Model to Increase Productivity of Microenterprises in the Industrial Chemical Sector Using 5S and TPM. In: Ahram, T., Taiar, R., Langlois, K., Choplin, A. (eds) Human Interaction, Emerging Technologies and Future Applications III. IHIET 2020. Advances in Intelligent Systems and Computing, vol 1253. Springer, Cham. https://doi.org/10.1007/978-3-030-55307-4_75
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DOI: https://doi.org/10.1007/978-3-030-55307-4_75
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