株式会社極東書店トップ ＞ 商品一覧 ＞ Artificial General Intelligence in Sustainable and Secure Manufacturing.
商品詳細
Artificial General Intelligence in Sustainable and Secure Manufacturing.
・ISBN 978-1-041-13715-3 hard GB£ 145.99
￥46,249.- (税込) ※（※）価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
| 著者・編者 | Kumar, Rajendra / Jain, Vishal / Tan Wei Han, Garry / Masa'deh, Ra'ed (eds.), |
|---|---|
| シリーズ | (Chapman & Hall/CRC Cyber-Physical Systems) |
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2026 |
| ページ数 | 456 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-83299＞ |
解説
This book explores the integration of Artificial General Intelligence (AGI) into sustainable manufacturing, offering a detailed framework that combines cyber-physical systems, advanced machine reasoning, and intelligent automation. It examines AGI-driven approaches for optimizing resource consumption, reducing carbon emissions, enhancing worker safety, and supporting real-time adaptive control. The text covers applications across Industry 6.0, including smart grid integration, waste reduction, sustainable supply chains, lifecycle analysis, and 4D printing. Featuring case studies from both developed and developing economies, the book also addresses infrastructure, implementation barriers, and regulatory concerns. It provides both theoretical underpinnings and practical solutions rooted in AGI-based autonomy, general learning, and knowledge transfer across industrial domains.
- Introduces AGI-enabled strategies for autonomous, real-time decision-making in sustainable manufacturing
- Explains cyber-physical systems integration to support environmental responsiveness and adaptive control
- Details AGI applications in energy optimization, emissions reduction, worker safety, and smart resource management
- Covers advanced topics including 4D printing, smart materials, circular economy, and lifecycle analysis
- Includes case studies from global contexts showing practical implementation across various industrial sectors
This book is for researchers, engineers, industry professionals, and graduate students in sustainable manufacturing, AI in industrial systems, and cyber-physical production technologies.