53835

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Доклад

Название: 

Decision Making and Learning in Wagon-Repairing

Электронная публикация: 

Да

DOI: 

10.1109/MLSD.2019.8911042

Наименование конференции: 

  • 2019 12th International Conference "Management of Large-Scale System Development" (MLSD)

Наименование источника: 

  • Proceedings of the 12th International Conference "Management of Large-Scale System Development" (MLSD)

Город: 

  • Москва

Издательство: 

  • IEEE

Год издания: 

2019

Страницы: 

https://ieeexplore.ieee.org/document/8911042
Аннотация
We consider production management using such elements of artificial intelligence as human-machine learning and decision-making procedures with fuzzy or qualitative guidelines. These mechanisms include heuristic elements, and use the knowledge of decision-makers and experts, their language, and the rules formulated in this language. The problem of the control mechanism optimal synthesis, with the guidelines of the expert, is set. This mechanism models the functions of people in conditions of uncertainty. The obtained optimal control mechanism includes learning and stimulation procedures. The proved theorem offers a solution to the problem of optimal synthesis of the learning mechanism using the dichotomous classification procedure, supported by an iterative pattern recognition procedure. This iterative procedure uses both a formal recursive algorithm and the results of recognition by an expert on images of emerging situations. As a result, adaptive norms are formed to evaluate the effectiveness and stimulate production. The use of the optimal control mechanism illustrates by the example of the wagon-repair production of a large-scale corporation Russian Railways.

Библиографическая ссылка: 

Цыганов В.В. Decision Making and Learning in Wagon-Repairing / Proceedings of the 12th International Conference "Management of Large-Scale System Development" (MLSD). М.: IEEE, 2019. С. https://ieeexplore.ieee.org/document/8911042.