Мақаланы E-mail арқылы жіберу Mathematical models for management of production and financial activities of an enterprise
- Авторлар: Apalkova T.1, Kosorukov O.2, Mishchenko A.1, Tsurkov V.3
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Мекемелер:
- Financial University under the Government of the Russian Federation
- Lomonosov Moscow State University
- Informatics and Management Federal Research Center of Russian Academy of Sciences
- Шығарылым: № 2 (2024)
- Беттер: 107-129
- Бөлім: SYSTEM ANALYSIS AND OPERATIONS RESEARCH
- URL: https://journals.rcsi.science/0002-3388/article/view/264494
- DOI: https://doi.org/10.31857/S0002338824020109
- EDN: https://elibrary.ru/VOFKWM
- ID: 264494
Дәйексөз келтіру
Ашық рұқсат
Рұқсат берілді
Тек жазылушылар үшін
Аннотация
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, 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). Solving problems of choosing a production program is also possible using other methods of this add-on, including the simplex method.
Авторлар туралы
T. Apalkova
Financial University under the Government of the Russian Federation
Хат алмасуға жауапты Автор.
Email: catintherye1@gmail.com
Ресей, Moscow
O. Kosorukov
Lomonosov Moscow State University
Email: kosorukovoa@mail.ru
Ресей, Moscow
A. Mishchenko
Financial University under the Government of the Russian Federation
Email: alnex4957@rambler.ru
Ресей, Moscow
V. Tsurkov
Informatics and Management Federal Research Center of Russian Academy of Sciences
Email: v.tsurkov@mail.ru
Ресей, Moscow
Әдебиет тізімі
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- Mishchenko A.V., Solodovnikov V.V., Apalkova T.G. Dynamic Models of Production -finance Activity of Enterprises in Conditions of Uncertainties and Risk // Intern. J. of Logistics Systems and Management. 2022. V. 43. No. 1. Pp. 86–111.
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