Inovação de processos em renovação de frotas: o caso da UFT

Abstract

This study highlights the necessity of cost management, as well as the planning and control of vehicle maintenance at the Federal University of Tocantins. Maintenance is considered a relevant parameter in determining the economic useful life and fleet renewal. Preventive maintenance plays a significant role, as its efficient and continuous application considerably increases the vehicle’s economic useful life and, consequently, determines the ideal point for vehicle replacement. The study emphasizes cost management, fleet management, and decision- making based on process innovation in light of the current institutional fleet renewal model. A case study methodology was applied to the transportation sector of the Federal University of Tocantins. To this end, data on maintenance costs, depreciation, and mileage of the university’s official vehicles were collected. Based on this information, it was possible to quantify the vehicles that had reached their economic useful life using economic engineering principles. These data were statistically analyzed through linear regression, highlighting the most significant parameters related to the optimal point for vehicle replacement. Active vehicles in the institution up to the year 2020 were considered. A technical management report was prepared, including data on vehicles that had reached the ideal replacement point, sorted in descending order by vehicle age, calculation of cost and additional time each vehicle remained in use after reaching the replacement point, assessment of the market value of used vehicles, and estimation of additional funds required for the purchase of new vehicles. Documents from the assets department of the Federal University of Tocantins were made available to compare auction proceeds with the market value of vehicles made available for auction. It was found that 67% of the institutional vehicles had reached the ideal replacement point, and that the parameters of maintenance and mileage showed significant relevance in reaching this point according to the statistical analysis results. Based on these statistical results, a fleet renewal model was proposed, incorporating an intercept value and specific weights for the maintenance and mileage parameters.