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

Improving Project Delivery Compliance Through Integrated Material Planning, IoT-Based Inventory Control, and Warehouse Layout Design in a Construction SME

Carrillo Y.G.; Reategui J.M.; Ruiz O.D. · Advances in Transdisciplinary Engineering (2026) · DOI: 10.3233/atde260741

Resumen

In small and medium-sized construction enterprises (SMEs), particularly those operating in geographically dispersed regions, inefficiencies in material management represent a critical operational challenge. Inadequate material planning, limited inventory visibility, and inefficient warehouse layouts frequently result in stockouts, incomplete deliveries, and project execution delays. These issues directly affect the On-Time In-Full (OTIF) indicator, generating financial losses due to penalties, rework, and idle labor hours, as observed in construction companies in the Amazonas region of Peru. Although previous studies have demonstrated the individual benefits of Material Requirements Planning (MRP), Internet of Things (IoT) technologies, and warehouse layout optimization techniques, their isolated implementation often produces fragmented improvements. This research addresses this gap by proposing an integrated model that combines MRP for structured material planning, IoT for real-time inventory monitoring, and Systematic Layout Planning (SLP) for warehouse redesign. The projected results indicate an increase in OTIF performance from 66.67% to a range between 78% and 80%, a reduction in stockouts to below 5%, and an improvement in inventory accuracy to above 93%. These projections are grounded in structured benchmarking and expert validation.

Instituciones: Universidad Peruana de Ciencias Aplicadas