Human-Centric Smart Manufacturing Towards Industry 5.0, Gebunden
Human-Centric Smart Manufacturing Towards Industry 5.0
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Baicun Wang, Dimitris Mourtzis, Lihui Wang, Pai Zheng
- Verlag:
- Springer Nature Switzerland, 04/2025
- Einband:
- Gebunden
- Sprache:
- Englisch
- ISBN-13:
- 9783031821691
- Artikelnummer:
- 12267284
- Umfang:
- 388 Seiten
- Gewicht:
- 744 g
- Maße:
- 241 x 160 mm
- Stärke:
- 27 mm
- Erscheinungstermin:
- 12.4.2025
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
This book presents a set of innovative solutions to human-centric manufacturing systems, offering critical insights and comprehensive application guidelines for understanding how to realize human-centric smart manufacturing by exerting its power and influence towards Industry 5.0.
While human-centric manufacturing possesses a substantial and growing body of knowledge, there are distinct research gaps that are not sufficiently addressed. With the development of enabling technologies, it is necessary to propose more precise, robust, and practical approaches in support of smart manufacturing towards Industry 5.0. As a response to the new research opportunities, this book presents and highlights the latest development on applying advanced techniques in human-centric manufacturing. The book will be of interest to a broad readership, from academic researchers to practicing engineers
Biografie (Lihui Wang)
Lihui Wang is a professor of virtual manufacturing at the University of Skövde s Virtual Systems Research Centre in Sweden. He was previously a senior research scientist at the Integrated Manufacturing Technologies Institute, National Research Council of Canada. He is also an adjunct professor in the Department of Mechanical and Materials Engineering at the University of Western Ontario, and a registered professional engineer in Canada.§His research interests and responsibilities are in web-based and sensor-driven real-time monitoring and control, distributed machining process planning, adaptive assembly planning, collaborative design, supply chain management, as well as intelligent and adaptive manufacturing systems.
