資料來源:
三民書局
Industry 4.0 driven manufacturing technologies / Ajay Kumar, Parveen Kumar, Yang Liu, editors.
- 其他作者：
- 其他題名：
- Springer series in advanced manufacturing.
- 出版： Cham : Springer c2024.
- 叢書名： Springer series in advanced manufacturing,
- 主題： Manufacturing processes--Technological innovations. , Industry 4.0. , Industrial engineering. , Artificial intelligence.
- ISBN： 9783031682704 (hbk.): NT$8259
- 書目註：Includes bibliographical references.
-
讀者標籤：
- 系統號： 005182456 | 機讀編目格式
館藏資訊
This book is a comprehensive guide to the latest advancements in manufacturing, adopting an Industry 4.0 approach. It covers the core principles of big data informatics, digital twin technology, artificial intelligence, and machine learning strategies. Readers will gain insights into the realm of cyber-physical intelligent systems in production, the role of blockchain, and the significance of information and communication technology. With a focus on real-time monitoring and data acquisition, the book offers practical solutions for online error troubleshooting in manufacturing systems. It explores a wide range of Industry 4.0-based applied manufacturing technologies and addresses the challenges posed by the dynamic market of production. Recognizing the lack of a cohesive resource on manufacturing advancements within the context of Industry 4.0, the authors have taken the initiative to compile this valuable knowledge from domain experts. Their goal is to disseminate these insights with this book. The book will be beneficial to various stakeholders, including industries, professionals, academics, research scholars, senior graduate students, and those in the field of human healthcare. With its comprehensive coverage, the book is an important reference for technical institution libraries and a useful reader for senior graduate students.