Optimización del proceso de preparación de pedidos en almacenes multicliente en la ciudad de Guayaquil

Abstract

This project aims to optimize the order picking process in a multi-client warehouse located in Guayaquil, Ecuador, which manages multiple products in a space with 26 racks, 11 aisles, and 20 operators. The disorganized distribution of items significantly affects dispatch times and overall logistics efficiency. To improve this process, the ABC classification technique was implemented, allowing products to be reorganized according to their turnover and importance within operations. To validate the proposal, a simulation was developed in FlexSim considering two scenarios: the current model with a disordered distribution and an optimized model based on ABC classification. Three main indicators were evaluated: number of units dispatched, average preparation time, and distance traveled by operators. The results showed substantial improvements: a 20% increase in processed units, a 41% reduction in order preparation time, and a 26% decrease in distance traveled. In conclusion, the strategy applied in a multi-client, multi-product environment confirms that ABC classification combined with mathematical simulation is an effective tool to optimize the order picking process, enhancing warehouse productivity and competitiveness. Keywords: Optimization, Order Picking, ABC Classification, Simulation, Logistics.