Application of Data Analysis in Assessing Fuel Consumption Efficiency in a Logistics Enterprise

Abstract

Fuel consumption efficiency is one of the key areas for evaluating the operational performance of vehicle fleets in transport enterprises. Rising operating costs and the need for rational resource management are making the analysis of data recorded during real-world vehicle use increasingly important. This article aims to comprehensively assess the operational efficiency of a vehicle fleet based on a case study of a selected transport enterprise. The analysis also includes the identification of vehicles characterised by unfavourable fuel consumption parameters. As part of the study, the consistency of input data on fuel consumption obtained from the CAN bus, invoices and fuel level sensor readings was assessed against reference data from the telematics system. On this basis, the data source demonstrating the highest level of consistency was identified and used in further analysis. Efficiency was assessed based on total and unit fuel consumption, CO ₂ emissions and the costs of excess fuel consumption. The applied criteria made it possible to identify vehicles with elevated fuel demand and suboptimal operational parameters. In addition, a scenario analysis was conducted to estimate potential savings and CO ₂ emission reductions achievable by improving the efficiency of the vehicle identified as requiring further inspection. This approach supports fleet management by facilitating the assessment of potential reductions in operating costs and CO ₂ emissions. The results indicate that targeted efficiency improvements may reduce fuel consumption and environmental impact without the need for immediate vehicle replacement.