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Taxonomic approach to evaluating the logistics system of groups

Authors: Avramenko, Oleksandr; Kotsyuruba, Volodymyr; Datsenko, Ivan;

Taxonomic approach to evaluating the logistics system of groups

Abstract

The analysis of known approaches to assessing the effectiveness of the logistics system of the Armed Forces of Ukraine and other military formations suggests the lack of a unified and effective approach to assessing the effectiveness of the logistics system. However, given the large number of indicators for assessing the effectiveness of the logistics system, which are different in origin and physical content, there is an urgent scientific task of bringing these indicators to one unit of measurement. The task of evaluating the efficiency of the logistics system is reduced to a typical multi-criteria problem, which is proposed to be solved using a taxonomic approach. In this study, a taxonomic approach to assess the effectiveness of the logistics system is proposed. In the course of this study, the main indicators for evaluating the efficiency of the logistics system were determined, mathematical relations were proposed for evaluating the efficiency of the logistics system using a taxonomic approach, and the procedure for calculating the evaluation of logistics system failure using a taxonomic approach was proposed. The advantages of the proposed approach are its versatility and flexibility, which allows you to work with indicators that have different units of measurement by translating the indicators of the efficiency of the logistics system into dimensionless quantities; promptly add new indicators for assessing the effectiveness of the logistics system in the conduct of operations (combat operations) of groups of troops (forces). This approach is proposed to be used during the development of new information logistics systems, as well as as a separate information and calculation procedure in a single automated troop management system. A promising area of further research is the use of artificial intelligence to increase the efficiency of the logistics system of groups of troops (forces).

{"references": ["Instruction of the Chief of Staff Committee JP 4-0. ADP 4-0 Sustainment. FM4-01.30 (FM 55-10). Nakonechnyi O. (2019) Analysis of conditions and factors influencing the efficiency of the logistics system of the state defense forces. Navigation and communication control systems. \u2116 3 (55), \u0440. 48-57. DOI: 10.26906/SUNZ.2019.3.048. Vlasov I., Vorobyov, O., Nakonechnyi O., Sereda Yu. (2020). Substantiation of conceptual and scientific approaches to the development of a unified logistics system in the Armed Forces of Ukraine. Collection of scientific works of Kharkiv National University of the Air Force. 2020. \u2116 2 (64). p. 12-18. DOI: 10.30748/zhups.2020.64.02. Gorodnov V., Vlasyuk V., Ovcharenko V. (2017). A comprehensive model for evaluating the effectiveness and management of material support elements during the preparation and during the performance of combat missions by units (subdivisions) of the National Guard of Ukraine in a special period. Science and technology of the Air Force of the Armed Forces of Ukraine. Vol. 1 (26), p. 123\u2013132. Gorodnov V., Vlasyuk V., Ovcharenko V. (2016) Model of assessment of completeness and probability of timely delivery of material means for performance of service and combat tasks by units (subdivisions) of the National Guard of Ukraine in the special period. Collection of scientific works of Kharkiv University of the Air Force. Vol. 14 (49). p. 6\u201317."]}

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Keywords

logistics system, state defense forces, efficiency, forms, methods

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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