SIMULATION MODEL FOR ANALYSING THE LEAN LOGISTICS METHODOLOGY IN THE WAREHOUSE OF A COMPANY IN THE CITY OF LIMA (#866)

Authors

Piedra Cabanillas, Fanny Emelina

Evangelista Benites, Guillermo David

Abstract

The use of simulation as a tool for emerging technologies allows logistics processes to be analyzed without directly intervening in reality. In this study, ProModel software was used to simulate and compare two inventory storage and dispatch strategies: one based on random allocation and the other using clustering techniques (cluster picking), as part of the Lean Logistics methodology. From a theoretical perspective, this methodology and tools such as simulation allow complex scenarios to be analyzed and improvements to be proposed without affecting actual operations. The research was carried out in five phases: problem analysis, data collection, modeling, simulation, and evaluation of results. For the clustering strategy, R Studio software was used, which allowed the optimal number of clusters to be defined and the inventory to be organized efficiently. Both models were evaluated based on the logistics process cycle time, resulting in a significant improvement in operational performance: cycle time, which was reduced by 25,30% with the implementation of the cluster-based strategy, search time was also reduced by 16,70%, and resource utilization increased by 38,90%. Overall, the simulated model based on cluster picking proves to be an effective alternative for reducing operating times and improving efficiency in distribution centers, contributing significantly to strategic logistics decision-making.