eBook, PDF

Multi-Disciplinary Engineering for Cyber-Physical Production Systems (eBook, PDF)

Data Models and Software Solutions for Handling Complex Engineering Projects

Redaktion: Biffl, Stefan; Gerhard, Detlef; Lüder, Arndt

Beschreibung

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.

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 13.47MB

Barrierefreiheit

• Text-to-Speech

Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 472
• Erscheinungstermin: 6. Mai 2017
• Englisch
• ISBN-13: 9783319563459
• Artikelnr.: 53064227

Rezensionen

"The work gives a valuable perspective on the tendencies of present and future multidisciplinary cyber-physical production systems; thus, it is theoretical to a great extent. It contains examples and use cases from diverse domains. It would be an important and useful reading for people at the top of the production process, at the decision making or design levels. They will find a range of important issues characterizing cyber-physical production systems, enabling them to keep searching for consistent solutions." (Svetlana Segarceanu, Computing Reviews, May, 2018)