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

Inventory management optimization model based on 5S and DDMRP methodologies in commercial SMEs

Mantilla R.B.; Arivilca L.P.; Aparicio V.; Nunura C. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2021) · DOI: 10.18687/laccei2021.1.1.499

Resumen

The importance of a good inventory management is essential for the optimal development of any company, as well as for small and medium-sized companies (SMEs). In this way, companies need to adapt to the needs of their customers and respond optimally to their stock requirements. According to studies carried out in recent years, there is a new technique called Demand Driven Material Requirement Planning (DDMRP), which allows companies to optimally adapt to the demand of the environment, reducing the level of unnecessary inventories without causing shortages. The positive impact of this technique can be maximized by having a correct control of physical inventories in the warehouse, for this the prior application of the 5S philosophy in the merchandise control areas has a significant impact on storage efficiency. After implementing inventory management based on the 5s and DDMRP methods, inventory levels were reduced by 10.87%, inventory recording accuracy increased by 9.48% and inventory turnover increased by 0.99.

Instituciones: Universidad Peruana de Ciencias Aplicadas