Multi-Disciplinary Engineering for Cyber-Physical Production Systems | Data Models and Software Solutions for Handling Complex Engineering Projects

Stefan Biffl (u. a.)

ISBN 10: 3319858912 / ISBN 13: 9783319858913

Published by Springer, 2018

About this Item

Multi-Disciplinary Engineering for Cyber-Physical Production Systems | Data Models and Software Solutions for Handling Complex Engineering Projects | Stefan Biffl (u. a.) | Taschenbuch | xii | Englisch | 2018 | Springer | EAN 9783319858913 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 114227963

Bibliographic Details

• Title: Multi-Disciplinary Engineering for Cyber-Physical Production Systems | Data Models and Software Solutions for Handling Complex Engineering Projects
• Publisher: Springer
• Publication Date: 2018
• Language: English
• ISBN 10: 3319858912
• ISBN 13: 9783319858913
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 27D millimeters 235 millimeters width by 155 millimeters height by 27 millimeters depth
• Weight: 727 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.