Abstract

The aim of the study is to assess the effectiveness of automated systems related to organizational and technical systems based on the implementation of a systematic approach to information technology. To achieve the goal it is necessary to solve the following tasks: to determine the main parameters of the systems functioning quality and choose the corresponding indicators of effectiveness. Theoretical foundations of a description of the process of evaluating the effectiveness of automated control systems are considered. The most commonly used criterion (term) is profit referred to costs, i. e., costs are taken as a criterion of cost-effectiveness. The fallacy of this criterion (this fraction) can be seen from the graph of the typical dependence of the system efficiency indicator on the total cost for solving the problem using this system. A rationale for the method of evaluating the effectiveness of complex systems, which include automated control systems, is given in the paper. It is shown that the modern system of providing automated control systems must be effective without disturbing the existing mode of operation. Thus, the automated system that solves the problem with a given efficiency at the lowest total cost is selected. Despite the fairly widespread use of the efficiency indicator in the form of a fraction (profit/cost), it is not appropriate to apply it, because these estimates do not include a comparison of different ways to achieve the goal. If it is necessary to choose from a number of competing enterprises it is necessary to compare all variants at decision-making on total efficiency, and then to compare these variants on effect. That is, the system that solves the problem with a given efficiency at the lowest total cost for the development of the system, its construction and operation is chosen. Comparative economic-effective assessment of competing automated systems allows you to get the best (rational) solution (the best structure, parameters and functional characteristics of the system) designed to implement a given task in certain external conditions.

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