Optimal Enterprise: Structures, Processes and Mathematics of Knowledge, Technology and Human Capital
- Добавил: literator
- Дата: 11-06-2021, 12:56
- Комментариев: 0
Название: Optimal Enterprise: Structures, Processes and Mathematics of Knowledge, Technology and Human Capital
Автор: Mikhail V. Belov, Dmitry A. Novikov
Издательство: CRC Press
Год: 2021
Страниц: 373
Язык: английский
Формат: pdf (true)
Размер: 34.4 MB
In the modern world, most gross product is created within Enterprise firms, project programs, state agencies, transnational corporations and their divisions, as well as various associations and compositions of the above entities. Enterprises, being, on the one hand, complex, and, on the other hand, widespread systems, are the subject matter of cybernetics, system theory, operations research, management sciences and many other fields of knowledge. However, the complexity of the system obstructs the development of mathematically rigorous foundations for Enterprise control. Moreover, methods of operations research and related sciences, which are widely used in practice, provide optimization of the constituents of an Enterprise, without modeling it as a whole system.
Автор: Mikhail V. Belov, Dmitry A. Novikov
Издательство: CRC Press
Год: 2021
Страниц: 373
Язык: английский
Формат: pdf (true)
Размер: 34.4 MB
In the modern world, most gross product is created within Enterprise firms, project programs, state agencies, transnational corporations and their divisions, as well as various associations and compositions of the above entities. Enterprises, being, on the one hand, complex, and, on the other hand, widespread systems, are the subject matter of cybernetics, system theory, operations research, management sciences and many other fields of knowledge. However, the complexity of the system obstructs the development of mathematically rigorous foundations for Enterprise control. Moreover, methods of operations research and related sciences, which are widely used in practice, provide optimization of the constituents of an Enterprise, without modeling it as a whole system.