Improving the scientific methodological approach to determining the appropriate type of reservation of a reconnaissance fire system

Authors

DOI:

https://doi.org/10.15587/1729-4061.2023.276171

Keywords:

type of reservation, reconnaissance and fire system, stability of operation, combat mission, reliability scheme

Abstract

The object of this study is the process of choosing the appropriate types of reservation of reconnaissance fire systems under the conditions of performing a combat mission.

The problem that was solved is the unsuitability of existing scientific and methodological apparatus to substantiate the appropriate type of reservation for reconnaissance and fire systems under specific conditions for performing a combat mission.

Possible types of reservation of reconnaissance fire systems have been analyzed. Based on the results of the analysis, appropriate types of reservation were established, in particular, active, unactive, majoritarian sliding, distributed, for subsystems, as well as general reservation.

A feature of this analysis is that it was carried out taking into account the peculiarities of the functioning of reconnaissance and fire systems. This makes it possible to eliminate existing problem associated with the complexity of the use of reconnaissance and fire systems in a combat event.

The scope of practical use of the results of the proposed analysis is the management processes associated with the creation, layout, and use of reconnaissance and fire systems in military administration bodies.

A methodology for determining the appropriate type of reservation of reconnaissance fire systems has been devised.

A feature of the proposed procedure is the choice of such a type of reservation that makes it possible to save the resource of elements, provided that the task is completed. The proposed methodology ensures an increase in the stability of the functioning of reconnaissance and fire systems by an average of 20 % for the conditions adopted within the limits of the example. The proposed methodology closes the problem part, which concerns the procedure and rules for choosing the appropriate type of reservation.

The scope and conditions for the practical use of the proposed methodology are management processes related to the planning and determination of the projected effectiveness of hostilities by military authorities

Author Biographies

Oleksandr Maistrenko, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

Doctor of Military Sciences, Senior Researcher, Leading Researcher

Scientific and Methodological Center of Scientific, Scientific and Technical Activities Organization

Stanislav Stetsiv, Hetman Petro Sahaidachnyi National Army Academy

PhD, Associate Professor

Department of Missile Forces and Artillery

Andrii Savelіev, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

PhD, Head of Department

Department of Intelligence

Volodymyr Petushkov, Central Scientifically-Research Institute of Armaments and Military Equipment of the Armed Forces of Ukraine

PhD, Head of Research Department

Department of Development of Missile Weapons and Military Equipment of Tactical and Operational-Tactical Purpose of the Research Department for the Development of Weapons and Military Equipment of the Land Forces

Alexander Kornienko, Hetman Petro Sahaidachnyi National Army Academy

Head of Research Laboratory

Research Laboratory of Software and Mathematics Support of Automation of Control of Armaments Complexes Missile Forces and Artillery

Oleksandr Pechorin, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

PhD, Associate Professor

Department of Airborne Troops and Special Forces

Command and Staff Institute of Troops (Forces) Employment

Serhii Stehura, Hetman Petro Sahaidachnyi National Army Academy

Associate Professor

Department of Missile Forces and Artillery

Oleksandr Radivilov, Hetman Petro Sahaidachnyi National Army Academy

Lecturer

Department of Missile Forces and Artillery

Serhii Pochynok, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

PhD, Deputy Head of Department

Department of Land Forces

Command and Staff Institute of Troops (Forces) Employment

References

  1. Adamchuk, M., Butuzov, V., Luhovskyi, I. (2022). Analysis of the experience of formation and use of combat battalion tactical groups in the course of modern wars and armed conflicts. The Scientific Journal of the National Academy of National Guard “Honor and Law,” 3 (82), 5–12. doi: https://doi.org/10.33405/2078-7480/2022/3/82/267118
  2. Maistrenko, O., Ryzhov, Y., Khaustov, D., Tsbulia, S., Nastishin, Y. (2021). Decision-Making Model for Task Execution by a Military Unit in Terms of Queuing Theory. Military Operations Research, 26 (1), 59–69. doi: https://doi.org/10.5711/1082598326159
  3. Semenenko, O., Marko, I., Baranov, S., Remez, A., Cherevatyi, T., Malinovskyi, A. (2022). Analysis of the influence of military and economic factors on the justification of the choice of a rational version of the composition of the intelligence-strike system in the operation. Journal of Scientific Papers ʽʽSocial Development and Security’, 12 (6), 31–48. doi: https://doi.org/10.33445/sds.2022.12.6.4
  4. Maistrenko, O., Khoma, V., Karavanov, O., Stetsiv, S., Shcherba, A. (2021). Devising a procedure for justifying the choice of reconnaissance-firing systems. Eastern-European Journal of Enterprise Technologies, 1 (3 (109)), 60–71. doi: https://doi.org/10.15587/1729-4061.2021.224324
  5. Barabash, O., Dakhno, N., Shevchenko, H., Sobchuk, V. (2018). Integro-Differential Models of Decision Support Systems for Controlling Unmanned Aerial Vehicles on the Basis of Modified Gradient Method. 2018 IEEE 5th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC). doi: https://doi.org/10.1109/msnmc.2018.8576310
  6. Mashkov, O. A., Sobchuk, V. V., Barabash, O. V., Dakhno, N. B., Shevchenko, H. V., Maisak, T. V. (2019). Improvement of variational-gradient method in dynamical systems of automated control for integro-differential models. Mathematical Modeling and Computing, 6 (2), 344–357. doi: https://doi.org/10.23939/mmc2019.02.344
  7. King, D., Bertapelle, A., Moses, C. (2005). UAV failure rate criteria for equivalent level of safety. Presented at the International Helicopter Safety Symposium, Montréal. Available at: https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.467.517&rep=rep1&type=pdf
  8. Petritoli, E., Leccese, F., Ciani, L. (2017). Reliability assessment of UAV systems. 2017 IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace). doi: https://doi.org/10.1109/metroaerospace.2017.7999577
  9. Abouei Ardakan, M., Sima, M., Zeinal Hamadani, A., Coit, D. W. (2016). A novel strategy for redundant components in reliability--redundancy allocation problems. IIE Transactions, 48 (11), 1043–1057. doi: https://doi.org/10.1080/0740817x.2016.1189631
  10. Zhai, Q., Ye, Z.-S. (2020). How reliable should military UAVs be? IISE Transactions, 52 (11), 1234–1245. doi: https://doi.org/10.1080/24725854.2019.1699977
  11. Rai, R. N., Bolia, N. (2013). Availability-based optimal maintenance policies for repairable systems in military aviation by identification of dominant failure modes. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 228 (1), 52–61. doi: https://doi.org/10.1177/1748006x13495777
  12. Moon, S., Kim, U. J. (2017). The Development of a Concurrent Spare-Parts Optimization Model for Weapon Systems in the South Korean Military Forces. Interfaces, 47 (2), 122–136. doi: https://doi.org/10.1287/inte.2016.0869
  13. Mackay, J., Munoz, A., Pepper, M. (2019). Conceptualising redundancy and flexibility towards supply chain robustness and resilience. Journal of Risk Research, 23 (12), 1541–1561. doi: https://doi.org/10.1080/13669877.2019.1694964
  14. Li, C.-Q., Yang, W. (2023). Time-Dependent Reliability Theory and Its Applications. Woodhead Publishing. doi: https://doi.org/10.1016/c2020-0-02657-5
  15. Efimenko, S., Smetankin, A., Liashenko, A., Arutiunian, M., Chernorutsky, I., Kolesnichenko, S. (2023). Method of Expansion of Mathematical Tools of the Reliability Theory Due to the Properties of Stochastic Theory of Similarity. Lecture Notes in Networks and Systems, 30–40. doi: https://doi.org/10.1007/978-3-031-20875-1_4
  16. Xing, L., Johnson, B. W. (2023). Reliability Theory and Practice for Unmanned Aerial Vehicles. IEEE Internet of Things Journal, 10 (4), 3548–3566. doi: https://doi.org/10.1109/jiot.2022.3218491
  17. Yeh, W.-C., Zhu, W., Tan, S.-Y., Wang, G.-G., Yeh, Y.-H. (2022). Novel general active reliability redundancy allocation problems and algorithm. Reliability Engineering & System Safety, 218, 108167. doi: https://doi.org/10.1016/j.ress.2021.108167
  18. Peiravi, A., Nourelfath, M., Zanjani, M. K. (2022). Universal redundancy strategy for system reliability optimization. Reliability Engineering & System Safety, 225, 108576. doi: https://doi.org/10.1016/j.ress.2022.108576
  19. Ardakan, M. A., Talkhabi, S., Juybari, M. N. (2022). Optimal activation order vs. redundancy strategies in reliability optimization problems. Reliability Engineering & System Safety, 217, 108096. doi: https://doi.org/10.1016/j.ress.2021.108096
  20. Maistrenko, O., Karavanov, O., Riman, O., Kurban, V., Shcherba, A., Volkov, I. et al. (2021). Devising a procedure for substantiating the type and volume of redundant structural-functional elements of reconnaissance-firing systems. Eastern-European Journal of Enterprise Technologies, 2 (3 (110)), 31–42. doi: https://doi.org/10.15587/1729-4061.2021.229031
  21. Cașcaval, P., Leon, F. (2022). Optimization Methods for Redundancy Allocation in Hybrid Structure Large Binary Systems. Mathematics, 10 (19), 3698. doi: https://doi.org/10.3390/math10193698
  22. Pankaj, Bhatti, J., Kakkar, M. K. (2022). Mathematical Modelling and Reliability Analysis of Parallel Standby System Using Geometric Distribution. 2022 Second International Conference on Computer Science, Engineering and Applications (ICCSEA). doi: https://doi.org/10.1109/iccsea54677.2022.9936394
  23. Bhatti, J., Kakkar, M. K. (2022). Reliability Analysis of Industrial Model Using Redundancy Technique and Geometric Distribution. ECS Transactions, 107 (1), 7273–7280. doi: https://doi.org/10.1149/10701.7273ecst
  24. Zhang, Z., Niu, Y. (2022). Sliding mode control of interval type-2 T-S fuzzy systems with redundant channels. Nonlinear Dynamics, 108 (4), 3579–3593. doi: https://doi.org/10.1007/s11071-022-07394-7
  25. Veeranna, T., Reddy, K. K. (2022). Sliding window assisted mutual redundancy-based feature selection for intrusion detection system. International Journal of Ad Hoc and Ubiquitous Computing, 40 (1/2/3), 176. doi: https://doi.org/10.1504/ijahuc.2022.123538
  26. Li, J., Li, Q., Wang, F., Liu, F. (2022). Hyperspectral redundancy detection and modeling with local Hurst exponent. Physica A: Statistical Mechanics and Its Applications, 592, 126830. doi: https://doi.org/10.1016/j.physa.2021.126830
  27. Arifeen, T., Hassan, A., Lee, J.-A. (2019). A Fault Tolerant Voter for Approximate Triple Modular Redundancy. Electronics, 8 (3), 332. doi: https://doi.org/10.3390/electronics8030332
  28. Arifeen, T., Hassan, A. S., Lee, J.-A. (2020). Approximate Triple Modular Redundancy: A Survey. IEEE Access, 8, 139851–139867. doi: https://doi.org/10.1109/access.2020.3012673
  29. Babić, I., Miljković, A., Čabarkapa, M., Nikolić, V., Đorđević, A., Ranđelović, M., Ranđelović, D. (2021). Triple Modular Redundancy Optimization for Threshold Determination in Intrusion Detection Systems. Symmetry, 13 (4), 557. doi: https://doi.org/10.3390/sym13040557
  30. Bevz, S. V. (2021). Method of Equivalent of the Scheme Using the Methodology of Equilibrium Balance. Visnyk of Vinnytsia Politechnical Institute, 158 (5), 50–57. doi: https://doi.org/10.31649/1997-9266-2021-158-5-50-57
  31. Hutyria, S. S., Vovk, V. V. (2022). Parametric failures and rational allocation reliability of robot machine subsystems. Collection of scientific works of the Odesa State Academy of Technical Regulation and Quality, 2 (21), 34–41. doi: https://doi.org/10.32684/2412-5288-2022-2-21-34-41
  32. Yeremenko, O., Mersni, A. (2020). Improving the Fault Tolerance of Elements of Modern Infocommunication Networks with the Use of Default Gateway Redundancy Protocols. Problemi Telekomunìkacìj, 2 (27), 68–81. doi: https://doi.org/10.30837/pt.2020.2.06
  33. Maistrenko, O., Khoma, V., Lykholot, O., Shcherba, A., Yakubovskyi, O., Stetsiv, S. et al. (2021). Devising a procedure for justifying the need for samples of weapons and weapon target assignment when using a reconnaissance firing system. Eastern-European Journal of Enterprise Technologies, 5 (3 (113)), 65–74. doi: https://doi.org/10.15587/1729-4061.2021.241616
Improving the scientific methodological approach to determining the appropriate type of reservation of a reconnaissance fire system

Downloads

Published

2023-04-30

How to Cite

Maistrenko, O., Stetsiv, S., Savelіev A., Petushkov, V., Kornienko, A., Pechorin, O., Stehura, S., Radivilov, O., & Pochynok, S. (2023). Improving the scientific methodological approach to determining the appropriate type of reservation of a reconnaissance fire system. Eastern-European Journal of Enterprise Technologies, 2(3 (122), 6–16. https://doi.org/10.15587/1729-4061.2023.276171

Issue

Section

Control processes