INTEGRAL MATHEMATICAL MODEL FOR ASSESSING THE STATUS AND EFFICIENCY OF THE FUNCTIONING OF THE CRISIS MANAGEMENT CENTERS OF THE EMERCOM OF RUSSIA

The article identifies the main parameters influencing the efficiency of the functioning of crisis management centers of the EMERCOM of Russia. The model proposes an original approach to calculating the values of the integral efficiency indicator, providing a mathematical description of interrelationships and the use of corrective coefficients. The model is based on a systematic analysis of factors affecting the operation of crisis management centers and enables well-grounded improvements to management processes in organizational systems. The development of an integral mathematical model for assessing the efficiency of crisis management centers is relevant due to the growing number and complexity of tasks under conditions of uncertainty. The model takes into account both technical parameters and human factors, ensuring a comprehensive approach. The theoretical significance of the model consists in advancing the methodological framework for analyzing complex organizational systems. Its principles can be adapted for application in other subject areas, expanding its theoretical potential. The practical significance of the model is demonstrated by its ability to improve the efficiency of managing crisis management centers, identify shortcomings, and optimize decision-making processes. It allows for timely problem resolution, which enhances the system's readiness for emergency situations.

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Publication Details

Journal
Scientific and analytical journal «Vestnik Saint-Petersburg university of State fire service of EMERCOM of Russia»
Published
2025-05-18
DOI
https://doi.org/10.61260/2218-130x-2025-1-56-63
Citations
1
Primary Topic
Advanced Data Processing Techniques
Type
article
Field-Weighted Citation Impact
1.21
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article

INTEGRAL MATHEMATICAL MODEL FOR ASSESSING THE STATUS AND EFFICIENCY OF THE FUNCTIONING OF THE CRISIS MANAGEMENT CENTERS OF THE EMERCOM OF RUSSIA

K.Z. Bilyatdinov, Vladimir Shchastyantsev
1 citations
Scientific and analytical journal «Vestnik Saint-Petersburg university of State fire service of EMERCOM of Russia»
Advanced Data Processing Techniques
1.21
article

INTEGRAL MATHEMATICAL MODEL FOR ASSESSING THE STATUS AND EFFICIENCY OF THE FUNCTIONING OF THE CRISIS MANAGEMENT CENTERS OF THE EMERCOM OF RUSSIA

K.Z. Bilyatdinov, Vladimir Shchastyantsev
article en
1 citations

Abstract

The article identifies the main parameters influencing the efficiency of the functioning of crisis management centers of the EMERCOM of Russia. The model proposes an original approach to calculating the values of the integral efficiency indicator, providing a mathematical description of interrelationships and the use of corrective coefficients. The model is based on a systematic analysis of factors affecting the operation of crisis management centers and enables well-grounded improvements to management processes in organizational systems. The development of an integral mathematical model for assessing the efficiency of crisis management centers is relevant due to the growing number and complexity of tasks under conditions of uncertainty. The model takes into account both technical parameters and human factors, ensuring a comprehensive approach. The theoretical significance of the model consists in advancing the methodological framework for analyzing complex organizational systems. Its principles can be adapted for application in other subject areas, expanding its theoretical potential. The practical significance of the model is demonstrated by its ability to improve the efficiency of managing crisis management centers, identify shortcomings, and optimize decision-making processes. It allows for timely problem resolution, which enhances the system's readiness for emergency situations.

Scientific and analytical journal «Vestnik Saint-Petersburg university of State fire service of EMERCOM of Russia»Vol. 2025(1)
Academy of the State Fire Service EMERCOM of Russia (RU), Petersburg State Transport University (RU)
Openalex Percentile: Top 21%
Advanced Data Processing Techniques
1.21
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