Development of a methodological approach for assessing the condition of complex organizational and technical systems

Authors

DOI:

https://doi.org/10.15587/1729-4061.2025.326468

Keywords:

hierarchical structures, metaheuristic algorithms, evolving artificial neural networks, destabilizing factors

Abstract

In this study, the object of research is organizational and technical systems. The primary issue addressed is the enhancement of operational efficiency in assessing the state of such systems under constraints related to data reliability, regardless of the volume of incoming data acquired from information sources. The subject of the research is the process of evaluating the condition of organizational and technical systems. The study presents the development of a methodological approach for assessing the condition of complex organizational and technical systems. The originality of the proposed approach lies in the implementation of advanced auxiliary procedures that enable the following:

– deployment of a search population of hippopotamus agents across the search plane, accounting for uncertainty in the information acquired through technical means about the organizational and technical system, by employing appropriate corrective coefficients. This enables a reduction in the time required for initial configuration of the subsystem responsible for processing heterogeneous data from extraction sources;

– additional consideration of the velocity of each agent within the hippopotamus swarm, allowing the prioritization of search tasks by each individual agent within the corresponding search space (across elements and components of the organizational and technical system);

– verification of the algorithm’s convergence to local and global optima;

– replacement of ineffective search agents by refreshing the population of hippopotamus agents;

– implementation of deep learning mechanisms for the knowledge bases of the hippopotamus agent swarm;

– estimation of the required computational resources in cases where the available computational capacity is insufficient for performing the necessary calculations.

An illustrative example demonstrated a 13–16 % increase in decision-making efficiency due to the integration of additional procedures, while ensuring a decision reliability level of 0.9

Author Biographies

Basem Abdullah Mohammed, Bilad Alrafidain University College

PhD, Lecturer

Department of Aeronautical Techniques Engineering

Iraida Stanovska, Odesa Polytechnic National University

Doctor of Technical Sciences, Professor

Department of Higher Mathematics and Modeling Systems

Svitlana Kashkevich, State University “Kyiv Aviation Institute”

Senior Lecturer

Department of Intelligent Cybernetic Systems

Andrii Lebedynskyi, Kharkiv National Automobile and Highway University

PhD, Associate Professor

Department of Computer Science and Information Systems

Yuliia Vakulenko, Poltava State Agrarian University

PhD, Associate Professor

Department of Information Systems and Technologies

Nadiia Protas, Poltava State Agrarian University

PhD, Associate Professor

Department of Information Systems and Technologies

Oksana Klyuchak, National Defense University of Ukraine

Senior Researcher

Department of Command of Troops (Forces) in Peacetime

Oleksandr Lastivka, State University “Kyiv Aviation Institute”

PhD Student

Andrii Semeniuk, Ivan Kozhedub Kharkiv National Air Force University

Senior Lecturer

Department of Aviation Weapons Complexes

Engineering and Aviation Faculty

Oleksandr Kivshar, Ivan Kozhedub Kharkiv National Air Force University

Deputy Chief

Engineering and Aviation Faculty

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Development of a methodological approach for assessing the condition of complex organizational and technical systems

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Published

2025-04-30

How to Cite

Mohammed, B. A., Stanovska, I., Kashkevich, S., Lebedynskyi, A., Vakulenko, Y., Protas, N., Klyuchak, O., Lastivka, O., Semeniuk, A., & Kivshar, O. (2025). Development of a methodological approach for assessing the condition of complex organizational and technical systems. Eastern-European Journal of Enterprise Technologies, 2(4 (134), 47–53. https://doi.org/10.15587/1729-4061.2025.326468

Issue

Vol. 2 No. 4 (134) (2025): Mathematics and Cybernetics - applied aspects

Section

Mathematics and Cybernetics - applied aspects

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Copyright (c) 2025 Basem Abdullah Mohammed, Iraida Stanovska, Svitlana Kashkevich, Andrii Lebedynskyi, Yuliia Vakulenko, Nadiia Protas, Oksana Klyuchak, Oleksandr Lastivka, Andrii Semeniuk, Oleksandr Kivshar

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