Methods for removing uncertainty in multi-criteria problems of effectiveness evaluation of decision-making

Abstract

A scientific approach to methods of technical support, economic and organizational management, as well as planning the activities of enterprises often dictates the need to make decisions not on one but on several performance indicators simultaneously. The presence of a number of situations with one or another degree of uncertainty in modern difficult conditions of forecasting requires the involvement of a certain mathematical apparatus for its description. The task of removing uncertainty is becoming complicated if it is necessary to evaluate the effectiveness of control actions in the system according to several performance criteria. Therefore, at present, the development of mathematical methods is actively underway, which allows solving applied problems in a multi-criterial formulation. The article describes the approach to solving multi-criteria problems based on the principle of observing the hierarchical ratio of probabilities of possible states of the external environment of the study.

Methods of systemic management of the service life of vehicles

“…In world practice, the concept has now been introduced -a product lifecycle management system Product Lifecycle Management (PLM). PLM is literally defined as «product lifecycle management technology» [8,9]. This is an organizational and technical system that ensures the management of all information about a product and about the processes performed from the moment of determining the needs of society for a particular product and until the disposal of the product after use, that is, throughout the entire individual life cycle (ILC) [10,11].…”

Zoning methodology for estimating the service life of the vehicle

“…1 shows the most general of the possible options for changing the values of the COU depending on the mileage of the car. It has been proven that the change in the values of the COU, depending on the vehicle mileage from the beginning of operation, occurs according to a linear law [3]. Let us introduce the designations: � ��� �� is the minimum possible (limiting) value of the COU; � n1 , � n2 , � n3 ,are vehicle mileages, at which the limiting values are reached; � �� -realizable indicator of the quality of the car; 0.95 (close to 1.0) is the COU value, up to which the parameter is restored under technical influences.…”

“…Multi-criteria in assessing the service life of a car is a direct consequence of the incompleteness of information about the situation, determined by a set of factors that must be considered when making decisions in the complex of technical operation of vehicles (TOV). It is because of the lack of sufficiently complete and reliable information necessary for making reliable decisions on maintenance and repair throughout the entire life of the vehicle, it is impossible to unambiguously determine the nature of the operations carried out, which gives rise to the need to develop an analytical apparatus that optimizes the decision made according to several performance indicators, considering possible changes in the operating conditions of the vehicle [1][2][3]. Based on various options for decision-making methods in conditions of uncertainty and methods for solving multi-criteria problems, it is possible to formulate a comprehensive method for removing uncertainty when solving multi-criteria problems, which makes it possible to increase the reliability of decisions made in information situations typical for a vehicle service life management system (VSLMS).…”