Saltar al contenido
República del Perú · Observatorio de la producción científica universitaria
OApol.org Observatorio de Inteligencia Científica Universitaria del Perú
OApol.org
Inicio Universidades Publicaciones Investigadores
Repositorios
Tesis y trabajos académicosRevistas
Indicadores
Ranking trimestralRanking por carreraObjetivos de Desarrollo SostenibleReporte OCDERed neuronal 3D
Acerca
MetodologíaPrivacidad

Reduction of Non-Productive Time Using Standardization, ROP, and EOQ to Improve Service in the Cleaning Sector

Jara-Ingaruca G.V.; Monzon-Barrios L.S.; Leon-Chavarri C.C.; Chavez-Ugaz R. · Advances in Transdisciplinary Engineering (2026) · DOI: 10.3233/atde260716

Resumen

Companies that rely on equipment-based services require high operational continuity; however, small maintenance workshops commonly lack standardized procedures, generating variability, delays, and unproductive time. Existing maintenance and inventory models are often designed for large-scale or highly formalized organizations, limiting their applicability to small service environments characterized by informality and reliance on individual expertise. This study proposes an engineering-based operational model specifically tailored to small maintenance workshops, integrating process standardization with inventory management using reorder point and EOQ. The approach was validated through discrete-event simulation in Arena. Results show an improvement in service level from 34.76% to 75.33%, a reduction of stockouts to 3.49%, and greater task consistency. By integrating these techniques, small maintenance workshops can mitigate operational disadvantages and achieve service performance levels comparable to those of larger, highly formalized service organizations.

Instituciones: Universidad de Lima