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Статья
Industrial digital ecosystems: Predictive models and architecture development issues
2021
The concept of digital ecosystem (DES) is widely used in autonomous manufacturing process control and the development of complex, stable, interactive, self-organizing and reliable management systems for various industries. The paper offers a concept of DES control system architecture based on predictive models. For estimating and predicting the state of resources in production processes, an approach is developed using data mining based model generation. The paper also reviews the current state of research in the field of DES and their applications in supply chain management (SCM). © 2020 The Authors
Цитирование
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Версии
- 1. Version of Record от 2021-04-27
Метаданные
Название журнала
- Annual Reviews in Control
Страницы
- -
Ключевые слова
- Data mining; Ecosystems; Process control; Supply chain management; Control system architecture; Digital ecosystem; Management systems; Manufacturing process; Predictive models; Production process; State of research; Supply chain managements (SCM); Predictive analytics
Издатель
- Elsevier Ltd
Тип документа
- journal article
Тип лицензии Creative Commons
- CC
Правовой статус документа
- Свободная лицензия
Источник
- scopus
