Abstract

The analysis of perspective tendencies which connected with changing of autopark structure and designs of vehicles, the newest technologies of diagnosing their technical condition and service, methods of estimation services quality at the existing auto service enterprises, the last EU directives on application of the corresponding technical regulations has shown that innovative approaches to the organization of technical service systems for vehicles, assessing the quality of technological processes of maintaining and restoring the working condition of vehicles and ensuring the efficiency of car service systems should be applied. Therefore, the development of methodology for assessing the quality of technological processes of vehicle recovery at the systems of auto service enterprises, which would take into account a comprehensive approach to future trends in fleet structure and vehicle designs, the latest technologies for diagnosing their technical condition and maintenance, methods of assessing service quality is an urgent problem today.The article is devoted to the study of influence independent parameters describing the morphological structure of auto service system on the quality of technological processes fore restoring the efficiency of vehicles. The independent parameters are: capacity of auto service companies (number of posts), level of personnel availability, production organization form, automobile full weight, energy unite type, automobile age, income level of vehicle’s owners. The analysis is performed using visualization of a nonlinear model of the Sugeno type, developed in the Matlab package. The study is conducted for the following types of auto service companies:maintenance points, car repair shops, service stations, authorized service stations, specialized auto service enterprises, complex auto service enterprises. It is shown that for the studied enterprises of different types technical service the change of values morphological features of the main functional elements allows to increase the level of quality of technological processes of vehicle’s maintenance and restoration from 0,1% to 21,1%.

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