Diseño de un modelo de reabastecimiento de inventarios en área de picking en una empresa comercializadora

Abstract

CONDITION FOR PUBLICATION OF PROJECT. This project addresses inventory analysis, optimization, and replenishment, with an emphasis on cost optimization and economic batches. Demand analysis and categorization are used based on variation variables and demand intervals. The DMADV methodology was used to design and validate a model that allows for improved processes related to inventory control and management in the picking area. The analysis phase included research into the best design alternatives. The implemented solutions are structured based on the company's own information and relevant process data, allowing for effective adaptation to the client's specific needs, as mentioned in the definition phase. The developed prototype allows for a broad response capacity due to its automated component, making it robust against variations in demand and changes in the operating environment. It is able to supply total inventory and reduce inventory levels by 57%, allowing for consolidation and timely changes with minimal risk. From a comprehensive perspective, the foundations are in place for implementing replenishment studies based on minimizing relevant costs, facilitating management and promoting continuous improvement. Keywords: Silver-Meal, demand forecasting, Python, DMADV.