Abstract
Identified parameters of the system analysis of gas production enterprise management, namely: structural analysis, which is represented by the formation of a matrix of structuring of organizational elements and their interactions (MSOE), and dynamic analysis involves the construction of a model of dynamic organizational elements and their interactions (MDOE). It is important to note that structural analysis precedes dynamic analysis and dynamic analysis is based on structural analysis. A methodology for researching the level of uncertainty of the external environment of a gas production enterprise is proposed, which is formed on the basis of structural and dynamic analysis, which allows dividing the factors of the external environment into groups and tracking their change over time. This approach to the analysis of the external environment allows you to predict the change of the factor and accordingly design a highly effective management solution. The proposed classification of models of the process of system analysis of the management of a gas production enterprise and the types of models of the process of system analysis of the management of a gas production enterprise are detailed: descriptive and calculation models of general direction; descriptive models of general directions; descriptive-calculation models of general direction with partial detailing and framework models. A complex algorithm for the system analysis of the management of a gas production enterprise is proposed, which reflects the successive stages of its implementation, leading to the adoption of a highly effective management decision when carrying out structural analysis, dynamic analysis, modeling of a management decision, testing of a management decision and, as a result, the implementation of a management decision. A timely, highly effective management decision leads the enterprise to success and vice versa. We suggest using system analysis to make highly effective management decisions, and the logical algorithm of its application reduces the time for making a management decision and guarantees the maximum result.
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