Вісник № 02. Системний аналіз, управління та інформаційні технології
Постійне посилання колекціїhttps://repository.kpi.kharkov.ua/handle/KhPI-Press/50276
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Документ Assessment of the strategic potential of an intellectual business system operating in a dynamic external environment(Національний технічний університет "Харківський політехнічний інститут", 2020) Lisitsky, Vasily Lavrentievich; Semenchenko, Arseny IgorevichThe paper discusses the issues of increasing the efficiency of the functioning of an intelligent business system by reducing its losses by creating an integrated set of models for assessing the level of its current strategic potential and the degree of achievement of its fixed target state. The object of the analysis is an intelligent business system of the IT industry that produces software products, the results of which depend on the well-established abilities of its personnel, who has effective intelligent information technologies. The task of assessing the strategic potential, determined by the totality of available resources (human, material, intellectual) that can be put into action, mobilized to achieve the target state of the enterprise, this calculation is based on estimates of the material and intellectual potential of the business system. We will build a complex of models for determining estimates of material and intellectual potential based on the significance and intensity of the influence of the strengths and weaknesses of the material, human, intellectual resources of the functional zones of the business system. Development of a subject technology for assessing the strategic potential of an intelligent business system, assessing the degree to which it reaches a fixed target state. Obtaining the results can serve as a theoretical basis for creating information technology for assessing the strategic potential of an enterprise in the IT industry.Документ Identification of problem situations in functional diagnostics of intelligent business systems(Національний технічний університет "Харківський політехнічний інститут", 2020) Lysytskyi, Vasyl Lavrentiyovych; Boiko, Mariia OlegivnaThe paper discusses the issues of increasing the efficiency of production activities of an intelligent business system operating in a dynamic environment by reducing its losses by creating a subject technology for reliable identification of problem situations in the process of functional diagnostics of a business system. The object of the research is an intelligent business system of the IT industry, which produces intelligent products, the results of which depend on the mental abilities of its personnel, who own effective intelligent information technologies. The problem-containing environment was chosen as the basis for analyzing the problem situation, in the depths of which the problem situation arises, develops and manifests itself. A problem-containing environment is characterized by structure and behavior. The behavior of the problem-containing environment is determined by the multidimensionality of the ongoing business processes, their interaction and dynamics. To identify deterministic and non-deterministic problem situations, it is proposed to set them by bipartite graphs and use the technology of inference based on precedents, which has serious advantages over the method of inference based on knowledge. In this work, a cognitive method is used to analyze problem situations of an intelligent business system. The basis of cognitive analysis is formed by the problem-containing environment, in the depths of which the problem situation arises. To study the problem-containing environment, the method of analysis of hierarchies is used, the basis of which is a hierarchy which is a system of levels, each of which consists of elements, factors of the problem-containing environment and an intelligent business system. A complex of models has been developed to construct a bipartite graph of a problem situation and to analyze its problem-containing environment. On the basis of a complex of models, a subject technology for identifying problem situations arising in the process of functional diagnostics of intelligent business systems has been created. The results obtained can be used as a theoretical platform for creating an information technology for functional diagnostics of intelligent business systems operating in a dynamic environment.