Predictive Analysis with AI in Fleet Maintenance: Cost Reduction and Efficiency Gains
Predictive Analysis with AI in Fleet Maintenance: Cost Reduction and Efficiency Gains
DOI:
https://doi.org/10.51473/rcmos.v1i1.2023.1397Keywords:
Artificial Intelligence; predictive maintenance; fleets; logistics; operational efficiency.Abstract
Fleet maintenance is one of the main challenges faced by transportation and logistics companies, representing significant costs and direct risks to operational continuity. The advancement of Artificial Intelligence (AI), particularly predictive analysis, enables the anticipation of failures, the optimization of vehicle life cycles, and cost reduction. This article analyzes how machine learning algorithms can be applied to predictive fleet maintenance, highlighting their economic, operational, and strategic impacts. Furthermore, it discusses the importance of integrating sensors, big data, and intelligent platforms to transform fleet management into a competitive advantage, promoting not only efficiency but also sustainability in road and urban transportation.
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Copyright (c) 2023 Ivan de Matos (Autor)
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