Application linear programming and optimisation methods to improve the effectiveness of budget expeditures in the field financial support the military troops

Oleksandr Artiushenko
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Abstract

B a c k g r o u n d . The relevance of this article lies in the fact that, in conditions of limited resources, the optimal allocation of financial resources is of great importance for the effective functioning of the state, including military units, as components of the budget system. The purpose of this study is to apply linear programming methods in combination with modern technologies to select the optimal allocation of resources to test a tool that will help institutions, including military units, use financial resources more efficiently and achieve maximum readiness and capabilities with limited budgetary resources. The object of the research. The object of study of this article is the process of financial support of military units as components of the state budget system. M e t h o d s . In the course of the research, the following methods of scientific the following methods of scientific cognition: logical, induction, deduction, classification, grouping - in the study and mechanism of financial support of military units; methods of economic and mathematical modeling, linear programming, formalization - in the formation of the model, its testing on data and development of proposals for its further application. R e s u l t s . The article considers the concept of a military unit from two main aspects: as a military unit and as a budgetary institution managing budgetary funds. Linear programming and modelling methods are used with the help of computer tools and in combination with modern technologies such as Python programming, Google Collaboratory, Jupyter notebook environment, Gurobi optimization library. Based on the results of the study, a financial resource allocation scheme was formed that maximizes the benefit from the use of a limited financial resource. C o n c l u s i o n s . The article explores the possibility of using linear programming methods to determine the optimal allocation of limited financial resources within a military organization among various activities required to meet a specific set of military unit needs, with potential alternative options (groups of options). As a result of the model optimization, the predetermined capabilities of the military unit were satisfied as follows: A – 100%, B – 0%, C – 71%, D – 90%, with the distribution of the financial resource (budget) appearing as follows: A – 29%, B – 0%, C – 37.5%, D – 33.5%, model also ensures 100% utilization of the designated financial resource.
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应用线性规划和优化方法提高军队野战财政保障预算支出的有效性
B:是的,我很高兴见到你。本文的相关性在于,在资源有限的情况下,财政资源的最佳配置对于作为预算系统组成部分的国家(包括军事单位)的有效运作至关重要。本研究的目的是将线性规划方法与现代技术相结合,选择资源的最佳配置,以测试一种工具,该工具将帮助包括军事单位在内的机构更有效地利用财政资源,并在有限的预算资源下实现最大的战备状态和能力。研究的对象。本文研究的对象是军队财政支持作为国家预算体系组成部分的过程。我想我应该去找她。在研究过程中,采用了以下科学认知方法:逻辑方法、归纳方法、演绎方法、分类方法、分组方法——在研究军事单位财政保障的机理;方法经济和数学建模,线性规划,形式化-在模型的形成,其对数据的测试和发展的建议,为其进一步的应用。这是我最喜欢的。本文主要从军事单位和管理预算资金的预算机构两个方面来考察军事单位的概念。线性规划和建模方法是在计算机工具的帮助下使用的,并结合现代技术,如Python编程,谷歌协作实验室,Jupyter笔记本环境,Gurobi优化库。根据研究结果,形成了一个财政资源分配方案,以最大限度地利用有限的财政资源。我想我的孩子们都是这样的。本文探讨了使用线性规划方法确定军事组织内有限财政资源在满足特定军事单位需求所需的各种活动之间的最佳分配的可能性,以及潜在的替代方案(选项组)。模型优化后,部队的预定能力满足率为:a - 100%, B - 0%, C - 71%, D - 90%,财政资源(预算)分配为:a - 29%, B - 0%, C - 37.5%, D - 33.5%,模型也保证了指定财政资源的100%利用率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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