Simulation of arms distribution strategies by combat zones to create military parity of forces

Oleg Fedorovich, Mikhail Lukhanin, Oleksandr Prokhorov, Oleg Slomchynskyi, Oleksii Hubka, Yuliia Leshchenko

Abstract


The problem of researching weapons distribution strategies to ensure effective combat operations in a military conflict zone is being formed and solved. The relevance of the study is related to the solution of the task of an operational-tactical nature in order to establish the military parity of forces in the conditions of the introduction of various equipment into the combat zone (CZ), which has different characteristics of combat capability from the set of warehouses and suppliers, with long supply chains. The problems that arise when establishing military parity of forces with the help of various weapons with different indicators of combat capability, the limited capabilities of suppliers, and the complications of supply logistics are analyzed. It is shown that asymmetric solutions, according to military equipment, are possible because of the use of technological innovations and high indicators of the combat effectiveness of weapons. It was concluded that the establishment of military parity of forces is possible thanks to the use of rational strategies for the distribution of weapons, which is an urgent problem in the conditions of modern hybrid warfare. Thus, this paper proposes a study of possible strategies for the distribution of weapons by CZ in conditions of threats of martial law of the country. The current study creates models that allow for the evaluation of possible arms distribution strategies, considering the diversity of military equipment, limited capabilities of suppliers, and risks associated with long logistics supply chains. Using set-theoretical analysis, methods of combinatorics, and enumeration theory, a systematic presentation of the distribution process of weapons is created. Possible strategies for the distribution of weapons by CZ to establish military parity of forces are formed and analyzed. Optimization models have been created for the rational distribution of military equipment under conditions of limited capabilities of manufacturers in terms of costs, production terms, and risks of arms supply. A simulation model is being developed to study the dynamics of the logistical process of distribution and supply of weapons in agent representation using the AnyLogic platform. Modeling allows you to analyze the impact of threats to the main indicators of the distribution and supply of weapons. An illustrative example of the distribution of weapons by CZ of a military conflict is presented. The scientific novelty of this research is related to the solution of the actual problem of the rational distribution of various military equipment by CZ in the conditions of modern hybrid warfare. The results of this study should be used for operational-tactical planning of the logistical process of distribution and supply of weapons to solve the problem of establishing military parity of forces in the CZ.

Keywords


military parity of forces; various weapons; distribution of weapons; system model of distribution; optimization of distribution; supply logistics; simulation model; agent model

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References


Andrews, W. S., & Hurley, W. J. Approaches To Determining Army Operational Stockpile Levels. Canadian Military Journal, 2004, pp. 37-46. Available at: http://www.journal.forces.gc.ca/vo5/no2/doc/technology-technologi-eng.pdf. (accessed 12.08.2023).

Havrylyuk, I. Yu., Mats'ko, O. Y., & Dachkovs'kyy, V. O. Kontseptual'ni osnovy upravlinnya potokamy v systemi lohistychnoho zabezpechennya Zbroynykh Syl Ukrayiny [Conceptual basis of flow management in the system of logistic support of the armed forces of Ukraine]. Suchasni informatsiyni tekhnolohiyi u sferi bezpeky ta oborony – Modern Information Technologies in the Sphere of Security and Defence, 2019, vol. 34, no. 1, pp. 37-44. DOI: 10.33099/2311-7249/2019-34-1-37-44. (In Ukrainian).

Pecina, M., & Husak, J. Application of the new NATO logistics system. Land Forces Academy Review, 2018, vol. 23, no. 2, pp. 121-127. DOI: 10.2478/raft-2018-0014.

Školník, M. New trends in the management of logistics in the Armed Forces of the Slovak Republic. Zeszyty Naukowe Akademii Sztuki Wojennej, 2018, no. 3(112), pp. 53-63. DOI: 10.5604/01.3001.0013.0878.

Acero, R., Torralba, M., Pérez-Moya, R., & Pozo, J. A. Value stream analysis in military logistics: The improvement in order processing procedure. Applied Sciences, 2020, vol. 10, no. 1, article no. 106. DOI: 10.3390/app10010106.

Çetinkaya, C., & Haffar, S. A Risk-Based Location-Allocation Approach for Weapon Logistics. Logistics, 2018, vol. 2, iss. 2, article no. 9. DOI: 10.3390/logistics2020009.

Liu, Y., Li, L., Tu, Y., & Mei, Y. Fuzzy TOPSIS-EW Method with Multi-Granularity Linguistic Assessment Information for Emergency Logistics Performance Evaluation. Symmetry, 2020, vol. 12, iss. 8, article no. 1331. DOI: 10.3390/sym12081331.

Dachkovskyi, V. Methods of evaluation of efficiency of logistic operations. Journal of Scientific Papers «Social Development and Security», 2021, vol. 11, no. 1, pp. 179-196. DOI: 10.33445/sds.2021.11.1.17.

Demertzis, K., Kikiras, P., & Iliadis, L. A Blockchained Secure and Integrity-Preserved Architecture for Military Logistics Operations. Communications in Computer and Information Science, 2022, vol. 1600, pp. 271-283. DOI: 10.1007/978-3-031-08223-8_23.

Dimitrov, M. S., & Irinkov, V. N. State and trends in the development of the logistic system of the Bulgarian Armed Forces. Obronność–Zeszyty Naukowe Wydziału Zarządzania i Dowodzenia Akademii Sztuki Wojennej, 2018, no. 3 (27), pp. 35-44.

Barbu, M.-L. Theoretical considerations concerning the setting of the capability requirements specific to combat engineers structures supporting management acrivities from the airfield. Journal of Defense Resources Management, 2019, vol. 10, iss. 2(19), pp. 188-196.

Pereira, N., Antunes, J., & Barreto, L. Impact of Management and Reverse Logistics on Recycling in a War Scenario. Sustainability, 2023, vol. 15, iss. 4, article no. 3835. DOI: 10.3390/su15043835.

Fedorovich, O., Lukhanin, M., Prokhorov, O., Pronchakov, Yu., Leshchenko, O., & Fedorovich, V. Modelyuvannya lohistyky formuvannya zapasiv ozbroyennya ta viysʹkovoyi tekhniky dlya uspishnoho vykonannya boyovykh diy [Modeling of logistics of war reserve stockpiling for successful combat operations] Radioelektronni i komp'uterni sistemi – Radioelectronic and computer systems, 2023, no. 1, pp. 183-196. DOI: 10.32620/reks.2023.1.15. (In Ukrainian).

Rogers, M. B., McConnell, B. M., Hodgson, T. J. et al. A Military Logistics Network Planning System. Military Operations Research, 2018, vol. 23, no. 4, pp. 5-24. DOI: 10.5711/1082598323405.

Lohmander, P. Optimal Dynamic Control of Proxy War Arms Support. Automation, 2023, vol. 4, pp. 31-56. DOI: 10.3390/automation4010004.

Lyu, Y., Yuan, J.-H., Sun, Y., Liu, J., & Gong, C.-Y. Optimization of vehicle routing problem in military logistics on wartime. Kongzhi yu Juece/Control and Decision, 2019, vol. 34, iss. 1, pp. 121-128. DOI: 10.13195/j.kzyjc.2017.0983.

Fedorovych, O. Ye.,. Pronchakov, Yu. L., Leshchenko, Yu. O., & Yelizyeva A. V. Modelyuvannya vplyvu faktoriv zahroz i vrazlyvostey u lohistytsi perevezenʹ pidp-ryyemstva, shcho rozvyvayetʹsya [Modeling the influence of threat factors and vulnerabilities in logistics of transportation of a developing enterprise] Radioelektronni i komp'uterni sistemi – Radioelectronic and computer systems, 2021, no. 3, pp. 29-36. DOI: 10.32620/reks.2021.3.03. (In Ukrainian).

Bauer, D., Böhm, M., Bauernhansl, T., & Sauer, A. Increased resilience for manufacturing systems in supply networks through data-based turbulence mitigation. Available at: https://link.springer.com/article/10.1007/s11740-021-01036-4. (accessed 10.08.2023).

Milewski, R., Smal, T. Decision making scenarios in military transport processes. Archives of Transport, 2018, vol. 45, iss. 1, pp. 65-81. DOI: 10.5604/01.3001.0012.0945.

Halizahari, M., Daud, M. F., Sarkawi, A. A. The Impacts of Transportation System towards the Military Logistics Support in Sabah. International Journal on Advanced Science, Engineering and Information Technology, 2022, vol. 12, iss. 3, pp. 1092-1097. DOI: 10.18517/ijaseit.12.3.14516.

Lu, T., Chen, K., Zhang, Y., & Deng, Q. Research on Dynamic Evolution Model and Method of Communication Network Based on Real War Game. Entropy, 2021, vol. 23, article no. 487. DOI: 10.3390/e23040487.

Lai, C.-M., & Tseng, M.-L. Designing a reliable hierarchical military logistic network using an improved simplified swarm optimization. Computers and Industrial Engineering, 2022, vol. 169, article no. 108153. DOI: 10.1016/j.cie.2022.108153.

Lindgren, M., & Banhold, H. Scenario planning. The connection between the future and strategy. CJSC Olymp-Business, 2009. 256 p. ISBN 978-5-9693-0137-5.

Cao, J., Zhang, C., Li, Y., Guo, Y., & Guo, Q. Combinatorial Optimization Methods for Determining the Pre-storage Location and Pre-setting the Distribution of Equipment Maintenance Materials. Binggong Xuebao/Acta Armamentarii, 2022, vol. 43, iss. 10, pp. 2668-2678. Available at: http://www.co-journal.com/CN/Y2022/V43/I10/2668. (accessed 10.12.2022).

Fedorovych, O. Ye., Urus'kyy, O. S., Chepkov, I. B., Lukhanin, M. I., Pronchakov, Yu. L., Rybka, K. O., & Leshchenko, Yu. O. Modelyuvannya transportnoyi lohistyky viys'kovykh vantazhiv z urakhuvannyam zbytkiv, yaki vynykayut' u zoni boyovykh diy cherez zapiznennya u postachanni [Simulation of transport logistics of military cargo considering the losses occurring in the war zone due to delays in delivery]. Radioelektronni i komp'uterni sistemi – Radioelectronic and computer systems, 2022, no. 2, pp. 63-74. DOI: 10.32620/reks.2022.2.05. (In Ukrainian).

Stepaniuk, M. Y., Sinitsyn, I. P., & Kotelia, O. V. Problema stvorennya informatsiynoyi systemy lohistyky v zbroynykh sylakh Ukrayiny, shcho vidpovidaye standartam NATO [About applicability of NATO logistics information systems in Ukraine]. Problemy prohramuvannya – Problems in programming, 2018, no. 4, pp. 101-110. DOI: 10.15407/pp2018.04.101. (In Ukrainian).

Yuste, P., Campbell, J., Canyon, D. et al. Synchronized Humanitarian, Military and Commercial Logistics: An Evolving Synergistic Partnership. Safety, 2019, vol. 5, no. 4, article no. 67. DOI: 10.3390/safety5040067.

Kim, D., Jeong, D., & Seo, Y. Intelligent Design for Simulation Models of Weapon Systems Using a Mathematical Structure and Case-Based Reasoning. Applied Sciences, 2020, vol. 10, article no. 7642. DOI: 10.3390/app10217642.

Lu, F., Hu, X., Zhao, B., Jiang, X., Liu, D., Lai, J., & Wang, Z. Review of the Research Progress in Combat Simulation Software. Applied Sciences, 2023, vol. 13, article no. 5571. DOI: 10.3390/app13095571.

Fedorovych, O., Rubin, E., & Yeremenko, N. Doslidzhennya lohistyky postachannya ta zbutu v riznoridniy transportniy infrastrukturi vantazhoperevezenʹ [Research of logistics of supply and sales in heterogeneous transport infrastructure-tour of cargo transportation]. Kharkiv, National aerospace University Kharkiv aviation Institute Publ., 2016. 198 p. (In Ukrainian).




DOI: https://doi.org/10.32620/reks.2023.4.15

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