Author(s): Kolesnikov Andrey Alexandrovich

Rubric: Mathematical cybernetics

DOI: 10.21777/2500-2112-2019-2-85-91

Release: 2019-2 (27)

Pages: 85-91

Keywords: situational management, production process, fuzzy logic, non-stationary object, classification of situations

Annotation: Formalized representation of complex non-stationary production processes leads to exponential complication of mathematical methods and models and often the impossibility of solving them, including heuristic methods. The article analyzes mathematical methods and models of situational control systems of the production process. The features of their application for different types of production processes are considered: discrete, discrete – continuous, continuous. An integrative approach is proposed to construct a system-wide model, which combine continuous flow and discrete event flows. This approach makes it easier to formalize the knowledge of specialists in the subject area and use only one form of knowledge representation – flow diagrams. The use of system models based on integrative flowcharts allows to change the type of individual chart elements in the process of system reengineering without changing the topology of links that formalize expert knowledge about the subject area, which significantly reduces the labor costs of changing the model.

Bibliography: Kolesnikov AN.AL. ANALYSIS OF METHODS AND MODELS OF SITUATIONAL MANAGEMENT SYSTEMS // Education Resources and Technologies. – 2019. – № 2 (27). – С. 85-91. doi: 10.21777/2500-2112-2019-2-85-91

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