Model to Improve Efficiency in the Production of Metal Protectors for Motorcycles by Applying SLP and TPM 4.0 with Industry 4.0

Calderón G.; Zavala L.; Velásquez-Costa J.; Losada-Gutiérrez C. · Advances in Transdisciplinary Engineering (2026) · DOI: 10.3233/atde260708

Resumen

The metalworking industry faces significant challenges related to low operational efficiency, extended downtime, and limited manufacturing flexibility. This study proposes an integrated optimization model for the production process of motorcycle sliders in a Peruvian metalworking company, combining TPM, SLP, IoT, and Machine Learning. The methodology included process analysis, bottleneck identification, layout redesign, and the implementation of predictive maintenance through IoT-based monitoring. The results demonstrated measurable improvements: rework time was reduced from 20.07 to 8.60 h; material handling distance decreased by 34.49% (from 44.53 to 35.61 m); operational efficiency increased from 37.90% to 94.18%; MTBF improved to 353.76 h; and MTTR decreased to 5.81 h. Overall, the integrated approach achieved a 56.28% increase in productivity, aligned with Industry 4.0 principles.

Instituciones: Universidad Peruana de Ciencias Aplicadas