Automation of Standard Processes at Car Service Stations Using Robotic Systems

Abstract

Relevance. In modern automotive industry conditions, the automation of processes at service stations (STO) is an important direction for improving operational efficiency and service quality. The use of robotic systems helps reduce costs, shorten service time, and minimize human factors. Automating standard services such as diagnostics, oil changes, tire fitting, and vehicle condition control enhances productivity and safety. Despite the rapid development of technologies, there is a need for research and generalization of information on the possibilities of implementing robotic systems in the automotive service sector.

The objective of this study is to develop a model for automating standard STO services using robotic systems, optimizing workflows, increasing service efficiency, and improving customer service quality.

Research Methods: To achieve this goal, a comprehensive approach was applied, including: Theoretical and critical analysis of scientific sources on STO process automation; Generalization and systematization of existing data on robotic systems in the automotive service industry; Comparative analysis of modern automation technologies to determine their efficiency and feasibility of implementation; Modeling an automated system for standard STO services. The study analyzed the current state of service automation at STOs and identified the key advantages of using robotic systems. A generalized automation model was developed, ensuring interaction between robots, personnel, and customers, which reduces task execution time and enhances service quality. The proposed model allows for the adaptation of automation systems for different types of automotive service stations, considering their specific needs. A structural diagram of the automated system was also developed, demonstrating the key components, their functions, and interconnections. The analysis showed that implementing robotic technologies at STOs is economically viable and can significantly improve service station productivity.

The research results indicate the high efficiency of automating standard STO services using robotic systems. The implementation of such technologies helps reduce operational costs, increase the speed and quality of vehicle maintenance, and improve working conditions for personnel. The obtained data can be useful for service station managers, equipment manufacturers, and research institutions involved in automation in the automotive service sector. The proposed model can serve as a basis for further research and the development of practical solutions for automating STO operations, increasing business competitiveness, and contributing to the industry's overall growth.