This study proposes a comprehensive improvement model aimed at increasing the on-time delivery (OTD) rate of a small Peruvian trading company operating in the hydrocarbons sector. The research addresses key operational issues—such as delays in the picking process, warehouse disorganization, and stockouts—which caused a 13.86% gap compared to the service level standard. To resolve this, the study integrates three industrial engineering tools: the ABC classification method to prioritize materials by turnover, the Systematic Layout Planning (SLP) methodology to optimize space, time, and distances, and the Material Requirements Planning (MRP) system to improve purchasing aligned with seasonal demand.While these tools have been applied individually in the context of SMEs, their combined and integrated application within a small enterprise setting is what makes this proposal both unique and practical. The methodology was tailored to the resource constraints and management capabilities typical of small businesses, ensuring its functional feasibility.

Developed through time measurements, layout analysis, and historical data processing, the proposed model achieved significant improvements: a 21.6% reduction in picking time, a 6.4% increase in inventory turnover, a 78.57% reduction in transport time, and up to 68.75% reduction in travel distances. As a result, the OTD rate improved from 82.63% to 94.53%, strengthening logistics performance and customer satisfaction. This model is scalable, replicable, and especially applicable to SMEs facing similar operational challenges in the hydrocarbons sector and beyond.