VARIABILITY MANAGEMENT OF EFFICIENT VEHICLE OPERATION BASED ON FUNCTIONAL RESONANCE ANALYSIS METHOD
Raising of problem. The methodology presented in this study is aimed at modeling the variability of the technical condition when operating a car in a complex social and technical system "car − person − environment". This allows you to simulate the change in the operational properties of the car depending on its operation, affecting the change in the technical condition by the Functional Resonance Analysis Method (FRAM). Purpose. The variability of the technical operation of the car needs to be managed, and not reduced or eliminated, since this is an advantage, as well as conditions for the safety and functioning of complex socio-technical systems. To control it, you must first monitor the variability of the vehicle's technical operation. A set of relevant indicators needs to be identified and developed. Their interpretation makes it possible to draw conclusions about the level of technical condition, operational properties of the vehicle and traffic safety and supports the prediction of the occurrence of future events (failure occurrence). Conclusion. Thus, the basic principles of the FRAM for modeling the variability of the technical condition when operating a car in a complex social and technical system "car − person − environment" have been determined. The relationship has been established between the definition of traffic safety, the FRAM model and the performance indicators of the vehicle. The developed model of the FRAM for maintenance of the undercarriage of cars, consisting of a set of functions that describe the actions taken to maintain cars to ensure their good condition. A block diagram of the implementation of functionally oriented technologies for the maintenance and repair of cars has been developed, taking into account the design features and the level of technology for technical influences. This allows you to objectively determine the required scope of maintenance work, depending on the results of diagnostics and the availability of technological equipment.