Identification of Typical Failures of Renault Group Vehicle Components and Justification of Spare Parts Selection

This article explores methods for detecting and studying failures of automotive components. The primary challenges related to the effectiveness of passenger vehicle operation are directly dependent on a holistic approach to the implementation of material and technical support measures. This includes the planning of supply volumes and management of spare parts inventory at enterprises involved in vehicle maintenance and repair. These enterprises range from distribution networks to dealer service stations. An analysis of recent research on key conditions for the stable functioning of automotive service systems (such as service stations, logistics centers for spare parts supply, and automotive component warehouses) highlights the continuous development of measures aimed at improving their efficiency. This also requires the implementation of appropriate methods for analyzing, evaluating, and forecasting their behavior in dynamic customer service systems. The study identifies the nomenclature of components that limit the operability (or are "critical" for operability) of vehicles and assesses the degree of impact of components on the performance of Renault-branded vehicles. The article also identifies the level of significance of failures in vehicle components and their impact on the overall performance of the vehicle. These findings are essential for the effective operation of service systems, ensuring that vehicles are maintained and repaired promptly, and that downtime is minimized. Further, the study suggests the application of predictive maintenance models and the introduction of advanced technologies in the automotive service industry to enhance both the operational efficiency and reliability of vehicles. By understanding the critical points of failure, automotive companies can reduce costs related to unscheduled repairs, improve customer satisfaction, and extend the operational lifespan of the vehicles they service. In conclusion, the development of methods to predict, detect, and prevent failures of automotive components is crucial for the continued growth and competitiveness of service enterprises in the automotive sector. This research provides valuable insights into the factors that affect vehicle performance and offers practical recommendations for optimizing service systems, improving inventory management, and reducing the risks associated with component failures.