Optimization of Picking in a Logistics Distributor Using Pick and Place with RFID and IoT to Reduce Errors

Perez-Vargas C.; Velásquez-Costa J.; Losada-Gutiérrez C. · Advances in Transdisciplinary Engineering (2026) · DOI: 10.3233/atde260740

Resumen

Logistics efficiency has become a factor for global competitiveness, especially in multinational companies where the accuracy of order preparation directly affects customer satisfaction and operational costs. In this context, the picking process plays a critical role, representing between 15% and 35% of the total logistics cost. However, in various industries, manual methods persist, increasing preparation errors, delivery delays, and operational rework, limiting the overall performance of the logistics system. In Peru, this issue is visible in distribution centers where intelligent operational support technologies have not yet been implemented. The diagnosis carried out in the company under study shows that the current picking process has inefficiencies that affect its productivity, reflected in an OEE of 51.76%, a value that is below the expected performance of 97% for a high-volume and variable operation. This situation generates additional costs, low traceability, and a loss of reliability in supply. In response, a model based on Pick & Place automation, integrated with RFID and IoT technologies, accompanied by operational standardization, is proposed. This solution allows optimizing picking accuracy, Simulation and pilot validation results indicate a potential cycle time reduction of up to 40% and an estimated operational efficiency improvement of approximately 20%, demonstrating the feasibility of closing the identified OEE performance gap. proving to be a scalable, replicable, and applicable alternative for various sectors looking to evolve towards smart distribution centers aligned with Industry 4.0.

Instituciones: Universidad Peruana de Ciencias Aplicadas