Analysis of the main approaches to modeling management processes for special-purpose organizational and technical systems
https://doi.org/10.21822/2073-6185-2024-51-1-153-165
Abstract
Objective. In this paper, the main approaches to modeling the management processes of organizational and technical systems for special purposes are reviewed and analyzed, and their detailed comparative analysis is carried out. This circumstance will allow us to further develop methodological recommendations to improve the efficiency and validity of management decisions.
Method. This work uses: formal models, structural models of objects, models under conditions of complete certainty, models under conditions of risk using a decision tree, models under conditions of uncertainty, mathematical programming models, quality models, efficiency models.
Result. In the course of reviewing and analyzing the main approaches to modeling management processes for special-purpose organizational and technical systems, the following tasks were solved: a preliminary systematization of the available data on the features of the development of management decision-making models was carried out; a comparative analysis of these models was carried out, during which it was established that most of the developed models can only be applicable in certain subject areas, which significantly limits their universality; have a labor-intensive procedure for processing source data; turn out to be insufficiently adaptive to rapidly changing conditions.
Conclusion. The considered approaches to modeling management processes for specialpurpose organizational and technical systems are a powerful tool for making informed and effective management decisions; they allow you to take into account many factors, conduct scenario analysis and optimize solutions, as well as use computers for more accurate and complex calculations.
About the Authors
A. V. MelnikovRussian Federation
Alexander V. Melnikov, Dr. Sci. (Eng.), Head of the Department of Legal Informatics, Information Law and Natural Sciences
95 20th Anniversary of October St., Voronezh 394006, Russia
A. A. Karavaev
Russian Federation
Alexander A. Karavaev, Cand. Sci. (Law), Assoc. Prof., Department of Administrative Activities of Internal Affairs Bodies
53 Patriotov Ave., Voronezh 394065, Russia
A. O. Zheleznyakov
Russian Federation
Artem O. Zheleznyakov, Lecturer, Department of Military Training and Research Center
54 а Old Bolsheviks St., Voronezh 394064, Russia
References
1. Burkov V. N. Models, methods and mechanisms of management and decision-making in organizational systems: a textbook. Moscow: Academy of IBS, 2009. (In Russ)
2. Orlov A.I. Theory of decision–making M.: Exam, 2005. (In Russ)
3. Vasiliev D.K. Typical solutions in project management. Moscow: IPU RAS, 2003. (In Russ)
4. Nogin V. D. Decision-making in a multicriteria environment: a quantitative approach. Moscow: FIZMATLIT, 2005. (In Russ)
5. Zhilin R.A. Modeling of the assessment of the effectiveness of the functioning of security systems of objects of internal affairs bodies. Voronezh : Voronezh Institute of the Ministry of Internal Affairs of the Russian Federation, 2023. (In Russ)
6. Danilova O.Y., Menshikh A.V., Menshikh V. V. [et al.] Modeling of decision-making processes in law enforcement. Voronezh: Voronezh Institute of the Ministry of Internal Affairs of the Russian Federation, 2021. (In Russ)
7. Zhilin R. A., Melnikov A.V., Shcherbakova I. V. Numerical method of preliminary examination of alternatives for violators of the protection of objects of general criminal orientation. Bulletin of the Voronezh Institute of the Ministry of Internal Affairs of Russia, (2019); (3): 46-54. (In Russ)
8. Barkalov S. A., Morozov V. P., Moiseev S. I. Modeling of the decision-making process based on Markov random processes. Mathematical methods and information technologies in system modeling. Voronezh: Publishing house "Scientific Book", 2021. (In Russ)
9. Novikov D.A. Theory of management of organizational systems. M.: Fizmatlit, 2007. (In Russ)
10. Ananyev A.V., Ivannikov K. S., Moiseev S. I. Methodology of decision-making in conditions of uncertainty using the theory of latent variables. Management systems and information technologies, 2022; (2(88)): 31-36. (In Russ)
11. Melnikov A.V., Shcherbakova I. V., Zhilin R. A.The method of forming expert coalitions within the framework of solving the problem of examining alternatives with weakly formalized criteria. Actual problems of applied Mathematics, Computer Science and Mechanics. Voronezh: Scientific Research Publications, 2020. (In Russ)
12. Barkalov S. A., Moiseev S. I., Kalinina N. Y. Dynamic model of the decision-making process/ S. A. Barkalov. Interdisciplinary Studies of economic systems. Tver State Technical University, 2022. (In Russ)
13. Zhilin R. A., Melnikov A.V., Perminov G. V. Numerical method of clustering homogeneous alternatives characterizing the quality of anti-terrorist protection of objects of internal affairs bodies, based on the sum of differences in weighted signs. Modeling, optimization and information technologies, (2020); (4(31)). (In Russ)
14. Larichev, O. I., Moshkovich E. M. Qualitative methods of decision-making. Verbal analysis of solutions. Moscow: Nauka. Fizmatlit, 1996. (In Russ)
15. Menshikh V. V., Pastushkova Assessment of the quality of actions in the process of making managerial decisions. Mathematical methods and information technology tools. Ministry of Internal Affairs of the Russian Federation, Krasnodar University, 2012. (In Russ)
16. Voronin A.A., Gubko M.V., Mishin S.P., Novikov D.A. Mathematical models of organizations. M.: Lenand, 2008. (In Russ)
17. Burkov V. N., Burkova I. V., Barkalov S. A. Digital technologies in managerial decision-making. FES: Finance. Economy. Strategy, 2018; 15 (4): 5-10. (In Russ)
Review
For citations:
Melnikov A.V., Karavaev A.A., Zheleznyakov A.O. Analysis of the main approaches to modeling management processes for special-purpose organizational and technical systems. Herald of Dagestan State Technical University. Technical Sciences. 2024;51(1):153-165. (In Russ.) https://doi.org/10.21822/2073-6185-2024-51-1-153-165