Mathematical Models for Management of Production and Financial Activities of an Enterprise

IF 0.5 4区计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Journal of Computer and Systems Sciences International Pub Date : 2024-08-18 DOI:10.1134/s1064230724700217

T. G. Apalkova, O. A. Kosorukov, A. V. Mishchenko, V. I. Tsurkov

引用次数: 0

Abstract

This paper proposes optimization models for the production and financial activities of an enterprise, which make it possible to increase the efficiency of its functioning in the modern market environment. The novelty of the proposed tools is due to taking into account the peculiarities of the processes of consumption and storage of finished products (FPs), as well as lending and expansion of production. To implement the proposed models, the generalized reduced gradient method is used, built into the MS Excel toolkit (the Solver add-on). Problems of choosing a production program can also be solved using other methods of this add-on, including the simplex method.

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企业生产和财务活动管理数学模型

摘要本文提出了企业生产和财务活动的优化模型，从而有可能提高企业在现代市场环境中的运作效率。提出的工具之所以新颖，是因为考虑到了成品（FPs）的消费和储存过程以及生产的借贷和扩张过程的特殊性。为了实现所提出的模型，我们使用了 MS Excel 工具包（求解器插件）中内置的广义梯度降低法。选择生产方案的问题也可以使用该插件的其他方法（包括单纯形法）来解决。

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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来源期刊

Journal of Computer and Systems Sciences International 工程技术-计算机：控制论

CiteScore

1.50

自引率

33.30%

发文量

审稿时长

6-12 weeks

期刊介绍： Journal of Computer and System Sciences International is a journal published in collaboration with the Russian Academy of Sciences. It covers all areas of control theory and systems. The journal features papers on the theory and methods of control, as well as papers devoted to the study, design, modeling, development, and application of new control systems. The journal publishes papers that reflect contemporary research and development in the field of control. Particular attention is given to applications of computer methods and technologies to control theory and control engineering. The journal publishes proceedings of international scientific conferences in the form of collections of regular journal articles and reviews by top experts on topical problems of modern studies in control theory.