Propuesta metodológica de picking para la optimización del área de almacén en Bonema S.A.S.

Abstract

Efficient warehouse management is a key factor for operational reliability and inventory control in industrial environments. Within these processes, the internal picking of raw materials for production is a critical activity, as it directly impacts setup times, material traceability, and the accuracy of inventory records. This project aimed to design and evaluate a system-guided internal picking model to optimize raw material retrieval and strengthen inventory control in the warehouse of a company in the plastics industry. The methodology employed was applied and descriptive, developed in four phases: diagnosis of the current process, design of the proposed model, implementation of a pilot test, and evaluation of results. The diagnosis included operational observation, review of procedures, and an inventory audit of a high-turnover raw material (BE500). Based on this, an internal picking model was structured using location information generated by the Ofima system, without requiring modifications to the warehouse's physical infrastructure. The pilot results showed a reduction in location and picking times, a decrease in manual record-keeping, and improved traceability by lot and shelf. Opportunities for strengthening labeling practices and complementary operational controls were also identified. It is concluded that guided internal picking is a viable and scalable alternative for improving the efficiency and reliability of internal inventory management and facilitates periodic stock verification processes.