Proposal to Reduce Inventory Discrepancies in a Telecommunications Company Through the Integration of 5S, AIDC, and DDMRP Tools

Aroni F.E.H.; Llerena J.F.; Vidigal J.F.C. · Advances in Transdisciplinary Engineering (2026) · DOI: 10.3233/atde260735

Resumen

This research proposes an integrated industrial engineering model to reduce a 13.73% inventory discrepancy identified in a telecommunications contracting company in Peru. The deviation exceeds the industry benchmark of 5%, generating an economic impact equivalent to 3.62% of annual revenue. The model integrates 5S methodology for operational discipline, Demand-Driven Material Requirements Planning (DDMRP) for buffer-based dynamic inventory control, and Automatic Identification and Data Capture (AIDC) technologies for real-time digital traceability. Functional validation combined pilot field implementation and quantitative scenario modeling. Under a moderate scenario, results indicate a reduction of overstock by 12%, a decrease of registration errors by 8.7 percentage points, and a measurable improvement in warehouse order and control. Economic evaluation over two years shows a positive Net Present Value (NPV) of S/ 12,596.69, an Internal Rate of Return (IRR) of 17.79%, and a payback period of 0.78 years. The findings demonstrate technical feasibility, economic sustainability, and provide a novel integrated framework adaptable to medium-sized contracting companies in high-variability sectors.

Instituciones: Universidad Peruana de Ciencias Aplicadas