78540

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Доклад

Название: 

Development of an Output Management Model for a Branch of an Engineering Corporation

Электронная публикация: 

Да

ISBN/ISSN: 

2267-1242

DOI: 

10.1051/e3sconf/202447401042

Наименование конференции: 

  • 10th International Annual Conference “Industrial Technologies and Engineering” (ICITE 2023)

Наименование источника: 

  • E3S Web of Conferences

Город: 

  • Shymkent

Издательство: 

  • EDP Sciences

Год издания: 

2024

Страницы: 

01042 https://doi.org/10.1051/e3sconf/202447401042
Аннотация
The model of output control in a corporation, carried out by its top manager (Chief), is considered. The head of the branch of the corporation (Head) controls the subordinate plant headed by the Director. A corporation's branch output is affected by random external influences. The Head knows exactly the maximum possible volume of outsourcing production at the branch level. But he does not know the maximum possible volume of production (potential) in the plant. The Adviser helps the Head to eliminate this uncertainty. For his part, the Director knows exactly plant’s potential. At the same time, the Chief does not know this potential, nor the possibilities of outsourcing. Thus, the Head can manipulate branch output to influence the decisions of the Chief in order to increase his own promotion. Therefore, the Chief needs to learn how to control the Head in order to maximize branch output. Similarly, the Director can manipulate plant’s output to influence the Head's decisions about his own denomination. Therefore, the Head needs to control the Director in order to increase plant’s output. A complex control mechanism has been found, in which total branch output is maximal. The use of such a mechanism is illustrated by the example of the modernization of freight railway platforms.

Библиографическая ссылка: 

Цыганов В.В. Development of an Output Management Model for a Branch of an Engineering Corporation / E3S Web of Conferences. Shymkent: EDP Sciences, 2024. С. 01042 https://doi.org/10.1051/e3sconf/202447401042.