Solving the multi-criteria problem of choosing a vehicle using analytical models

Abstract

A vehicle as an object of increased danger is highly susceptible to violation of operating rules, which causes a decrease in its level of safety and environmental friendliness. Safety-enhancing components, assemblies, and systems increase design complexity and the cost of maintaining a vehicle in good condition, which in turn significantly increases the cost of spare parts and components. Maintenance of these units reduces their maintainability. To assess the life cycle of a vehicle, it is necessary to test its service life management system in dynamically changing environmental conditions. In terms of these problems, the choice of a solution depends on the state of the environment and involves solving a number of multi-criteria problems using various methods of optimization and mathematical modeling. To increase the reliability level of decisions necessary in the service life management system of a vehicle, it is advisable to develop an analytical apparatus based on linear programming methods and the search for a set of Pareto optimal solutions (development of zoning methods), which will make it possible to arrive at optimal decisions given insufficient data on the operating conditions of the vehicle. The study represents an attempt to use a new mathematical apparatus for qualitative identification of the impact of external relations determined by the vehicle operating environment directly on the nature of the technical operation of the vehicle. Both processes are considered as complex dynamic systems forming connections, therefore it was necessary to adapt a number of existing approaches to solving multi-criteria problems of technical operation of vehicles necessary for the consistent implementation of computer modeling for the operation of the service life management system of a vehicle.