Aumento de la productividad en el despacho de unidades en un centro de distribución

Abstract

CONDITION FOR PUBLICATION OF PROJECT. The dispatch process in a distribution center presents delays that affect operational efficiency. The project aims to reduce the average dispatch time by 20% through the application of the DMAIC methodology. The main causes identified include inaccurate product location, unreliable inventory information, aisle congestion, and long distances traveled by operators. To address these issues, an optimization model was developed in Python based on the Traveling Salesman Problem, which improved the picking routes. The implementation achieved a 17% reduction in dispatch times and a 30% increase in operator productivity. Additionally, a monthly savings of 5,000 dollars in overtime costs and a reduction of 2,640 kilowatt-hours in energy consumption were obtained. It is concluded that the model enhances process efficiency, is scalable, and can be applied to similar operations. Keywords: DMAIC, dispatch, picking routes, operational efficiency.