| 书目名称 | Multi-Disciplinary Engineering for Cyber-Physical Production Systems |
| 副标题 | Data Models and Soft |
| 编辑 | Stefan Biffl,Arndt Lüder,Detlef Gerhard |
| 视频video | http://file.papertrans.cn/640/639945/639945.mp4 |
| 概述 | Comprehensively covers Industry 4.0 valued-added processes for flexible production systems, with emphasis on product design and production systems engineering.Considers integrated dependencies between |
| 图书封面 |  |
| 描述 | .This book discusses challenges and solutions for the required information processing and management within the context of multi-disciplinary engineering of production systems. The authors consider methods, architectures, and technologies applicable in use cases according to the viewpoints of product engineering and production system engineering, and regarding the triangle of (1) product to be produced by a (2) production process executed on (3) a production system resource. With this book industrial production systems engineering researchers will get a better understanding of the challenges and requirements of multi-disciplinary engineering that will guide them in future research and development activities. Engineers and managers from engineering domains will be able to get a better understanding of the benefits and limitations of applicable methods, architectures, and technologies for selected use cases. IT researchers will be enabled to identify research issues related to the development of new methods, architectures, and technologies for multi-disciplinary engineering, pushing forward the current state of the art.. |
| 出版日期 | Book 2017 |
| 关键词 | industry 4; 0; flexible production systems; industrial automation system; product development; production |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-56345-9 |
| isbn_softcover | 978-3-319-85891-3 |
| isbn_ebook | 978-3-319-56345-9 |
| copyright | Springer International Publishing AG 2017 |
|Archiver|手机版|小黑屋|
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