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

ERP–GPS integration for enhancing traceability and delivery performance in logistics operations: a case study

Urbano B.M.H.; Vasquez H.A. · Acta Logistica (2026) · DOI: 10.22306/al.v13i3.822

Resumen

Logistics companies increasingly face traceability and delivery performance challenges due to limited interoperability between enterprise resource planning (ERP) systems and global positioning system (GPS) technologies. Fragmented information environments restrict real-time visibility, generate data inconsistencies, and delay operational decision-making, particularly in last-mile distribution contexts characterized by high variability. This study evaluates the impact of ERP–GPS integration on logistics traceability and delivery performance through a quantitative single-case study. A structured Triple-I (Input–Process–Output) framework was applied, combining documentary analysis, Value Stream Mapping (VSM), performance indicator measurement, and scenario-based simulation to compare operational outcomes before and after system interoperability. Results demonstrate a 22.4% reduction in average delivery lead time and an increase in On-Time-In-Full (OTIF) performance from 67.2% to 85.4%. The integration eliminated manual confirmation procedures, reduced route deviations, and improved traceability completeness through real-time data synchronization. Beyond measurable performance gains, the findings highlight digital interoperability as an operational capability that enhances coordination between planning and execution functions. The study confirms that ERP–GPS synchronization represents a technically feasible, scalable, and cost-effective pathway toward Logistics 4.0 implementation, supporting data-driven decision-making and operational resilience in logistics service environments.

Instituciones: Universidad Tecnológica del Perú