Reduction of Delivery Times through Supply Chain Tools in a Company of the Chemical Sector

Resumen

This article addresses the problem of delivery delays in a Peruvian chemical sector company, where traditional logistics operations and a low level of digitalization have resulted in economic penalties equivalent to 17.14% of its annual sales. Based on a functional and economic diagnosis, the main root causes identified were errors in materials forecasting, product deterioration, and warehouse layout disorganization. To address this issue, an improvement model was designed using Supply Chain Management (SCM) tools, integrating ABC analysis, the Odoo inventory management system, slotting, and demand forecasting. Validation using simulation and performance indicator analysis demonstrated substantial improvements, with the service level increasing from 59% to 92%, picking time reduced by 91%, and economic penalties decreasing by 83%. Furthermore, the warehouse layout redesign led to improved internal flows, reduced unnecessary travel, and more efficient use of storage space. In addition, weekly quality controls were incorporated, together with a barcode-based traceability system for real-time tracking of inventory inflows and outflows. These results confirm the effectiveness of the proposed model and provide applied evidence to optimize logistics processes in medium-sized companies in the chemical sector, contributing to the achievement of Sustainable Development Goals (SDGs) 8, 9, 12, and 13 through a low-cost, highly applicable, and potentially replicable solution in other logistics environments.