Improving Operational Performance in Peruvian Advertising SMEs: A Case Study Integrating Lean and TPM Practices
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International Journal of Recent Engineering Science (IJRES) | ![]() |
© 2025 by IJRES Journal | ||
Volume-12 Issue-2 |
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Year of Publication : 2025 | ||
Authors : Xavier Alexis Rodriguez-Joyllo, Jimena Cangalaya-Fernández, Richard Nicholas Meza-Ortiz |
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DOI : 10.14445/23497157/IJRES-V12I2P105 |
How to Cite?
Xavier Alexis Rodriguez-Joyllo, Jimena Cangalaya-Fernández, Richard Nicholas Meza-Ortiz, "Improving Operational Performance in Peruvian Advertising SMEs: A Case Study Integrating Lean and TPM Practices," International Journal of Recent Engineering Science, vol. 12, no. 2, pp. 35-45, 2025. Crossref, https://doi.org/10.14445/23497157/IJRES-V12I2P105
Abstract
This study addresses the operational challenges faced by Small and Medium-sized Enterprises (SMEs) in the advertising sector, focusing on producing banners and vinyl. Existing research highlights the effectiveness of Lean Manufacturing and Total Productive Maintenance (TPM) in improving process efficiency, yet little attention has been given to their application in this niche sector. Limited resources sometimes cause small companies to have low output and constant breakdowns in equipment. Intending to reduce machinery malfunction and human mistakes, the study recommends a production model that integrates TPM techniques with Poka Yoke. The model in the presented case study was assessed based on a series of primary key performance indicators, including MTBF, MTTR, and OEE. Results from case studies revealed an MTBF increase of 50% and an OEE increase of 6%, implying more operational optimization. These findings confirm present knowledge by presenting a practical, straightforward solution to increasing process efficiency under strict financial circumstances. This research calls for further research into the effects of these methods, especially when used together with digital solutions designed to improve operational sustainability control.
Keywords
Process Optimization, Continuous Improvement, Equipment Reliability, Waste Reduction, Productivity Efficiency.
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