Approach to reducing the entropy of management information at a gas production enterprise

Abstract

The paper proposes an approach to reducing the entropy of management information at a gas production enterprise under conditions of increasing complexity of production processes, information uncertainty, and limited resources. This issue is particularly relevant for modern gas production enterprises in Ukraine, which are exposed to hostile attacks. At the same time, such enterprises belong to critical infrastructure facilities and are potentially hazardous objects, which should be taken into account when developing management models sensitive to information entropy. It is proposed to consider management information a dynamic system whose entropy changes over time due to data incompleteness, inconsistencies between information sources, and delays in information acquisition. A formalized approach to assessing the entropy of management information support is proposed, based on the analysis of database structure, the timeliness of information records, and the correspondence of information to the current state of the production process. The feasibility of integrating entropy-based criteria into the management procedures of a gas production enterprise is substantiated. It is shown that minimizing information entropy makes it possible to reduce managerial uncertainty, improve the justification of decisions, and ensure a timely transition from abnormal operating modes to normal ones without the development of crisis or emergency situations. Particular attention is paid to the temporal characteristics of information and their impact on entropy level. The proposed approach can be applied in the development of decision support systems, information and analytical systems, and situational control centers for gas production enterprises. The obtained results form a methodological basis for improving the efficiency of production process management and reducing risks in the gas production sector.