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Method of Minimax Terminal Program Control of Enterprise Product Output for Digitalization of Decision-Making Processes Научная публикация

Конференция V Международная научно-практическая конференция «Цифровая трансформация промышленности: тенденции, управление, стратегии»
25-27 окт. 2023 , ИЭ УрО РАН, Екатеринбург
Журнал Lecture Notes in Information Systems and Organisation
ISSN: 2195-4968 , E-ISSN: 2195-4976
Вых. Данные Год: 2024, Том: 70, Страницы: 505-524 Страниц : 20 DOI: 10.1007/978-3-031-66801-2_32
Ключевые слова Minimax program control, Vector objective function, A prior uncertain risks, Digitalization of decision-making processes
Авторы Shorikov Andrey F. 1
Организации
1 Institute of Economics of the Ural Branch of the Russian Academy of Sciences

Информация о финансировании (1)

1 Министерство науки и высшего образования РФ 0327-2024-0010

Реферат: The article examines the problem of Minimax (optimization of a guaranteed result) terminal program control of enterprise product output with a vector objective function and risks. To model the dynamics of such process, a new economic-mathematical model – a system of linear discrete-time recurrent equa-tions – is used. Its basic parameters are its phase vector of the controlled object (the enterprise), demand vector, control action vector (control), and the vector that describes a priori uncertain risks (disturbances) that arise in production. The article formalizes the problem under consideration and proposes a constructive solution method, which can serve as the basis for developing a numerical algorithm and creating a computer software application. The results presented in this article can be used in the digitalization of decision-making processes at manufacturing enterprises.
Библиографическая ссылка: Shorikov A.F.
Method of Minimax Terminal Program Control of Enterprise Product Output for Digitalization of Decision-Making Processes
Lecture Notes in Information Systems and Organisation. 2024. V.70. P.505-524. DOI: 10.1007/978-3-031-66801-2_32 Scopus OpenAlex
Даты:
Опубликована в печати: 26 нояб. 2024 г.
Идентификаторы БД:
Scopus: 2-s2.0-86000006690
OpenAlex: W4404687608
Цитирование в БД: Пока нет цитирований
Альметрики: