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

Analysis and improvement of the order management process in an automotive company using the DMAIC methodology

Dan Córdova Cifuentes A.; Aragon Casas L.G. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2025) · DOI: 10.18687/laccei2025.1.1.1619

Resumen

This article proposes optimizing the management of spare parts and lubricant orders in an automotive company using the DMAIC-Six Sigma methodology. The objective was to resolve difficulties in the preventive supply of these inputs for the after-sales service of trucks of a leading brand. During the diagnosis, inefficient wait times, transportation inconveniences, quality issues, repetitive processes, and difficulties in calculating adequate turnover were detected. Among the proposed solutions are the tabulation of sales and picks to forecast orders, transportation monitoring to adjust schedules, and training of logistics personnel to ensure optimal supply. In conclusion, the implementation of DMAIC-Six Sigma improved order accuracy, meeting demand within stipulated periods, reducing transportation downtime, and optimizing the use of human resources, which translates into higher annual revenues for the company.

Instituciones: Pontificia Universidad Católica del Perú