Análisis y mejora en el área de extrusión del proceso de telares en una empresa textil

Yesenia Kiabeth  Chairez Saucedo; Pedro Cruz Alcantar

doi:10.37636/recit.v9n3e506

Autores/as

Yesenia Kiabeth Chairez Saucedo Unidad Académica Multidisciplinaria Región Altiplano, Universidad Autónoma de San Luis Potosí UASLP–UAMRA, Carretera Cedral Km, 5+600 Ejido San José de las Trojes, Matehuala, San Luis Potosí 78700, México. https://orcid.org/0009-0009-9191-4070

Conflictos de interés

No expresa conflicto de interés
Pedro Cruz Alcantar Unidad Académica Multidisciplinaria Región Altiplano, Universidad Autónoma de San Luis Potosí UASLP–UAMRA, Carretera Cedral Km, 5+600 Ejido San José de las Trojes, Matehuala, San Luis Potosí 78700, México. https://orcid.org/0000-0001-9363-494X

Conflictos de interés

No expresa conflicto de interés

DOI:

https://doi.org/10.37636/recit.v9n3e506

Palabras clave:

Availability, Maintenance, Winding units, Extrusion, Polypropylene yarn, Textile industry

Resumen

Low availability of winding units can disrupt production continuity and hinder maintenance decision-making in textile processes. At the textile company studied in Matehuala, San Luis Potosí, equipment monitoring relied mainly on manual records and references associated with physical location, limiting traceability, historical failure analysis, and intervention prioritization. This study aimed to develop and implement a structured, low-cost method to strengthen maintenance management of winding units in the extrusion area. The research was conducted as an applied case study using a quantitative approach and descriptive scope. The method integrated maintenance-process diagnosis, direct observation, time studies, root-cause analysis, thermographic inspections, individual identification of winding units, failure classification, critical-equipment prioritization, digital data capture, and evaluation through availability indicators. Record management and indicator calculation were automated using a Microsoft Excel® tool developed with Visual Basic for Applications. The Top 10 analysis identified 40 critical positions and 579 downtime recurrences. After implementation, the overall availability of the evaluated production lines reached 93.7%, exceeding the company's 86.0% target. The results show that the structured integration of equipment identification, prioritization, traceability, and automated indicator analysis provides a practical and low-cost approach to support maintenance management under real industrial operating conditions.

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