© 2017

Multi-Disciplinary Engineering for Cyber-Physical Production Systems

Data Models and Software Solutions for Handling Complex Engineering Projects

  • Stefan Biffl
  • Arndt Lüder
  • Detlef Gerhard


  • 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 production, production processes, and production systems with engineering processes

  • Discusses proven solution approaches coming from business informatics and semantic technology research and practice

  • Addresses process improvement and data integration issues in the multi-discplinary engineerng of cyber-physical production


Table of contents

  1. Front Matter
    Pages i-xii
  2. Product and Systems Design

    1. Front Matter
      Pages 25-25
    2. Stefan Wiesner, Klaus-Dieter Thoben
      Pages 63-88
  3. Production System Engineering

    1. Front Matter
      Pages 111-111
    2. Arndt Lüder, Nicole Schmidt, Kristofer Hell, Hannes Röpke, Jacek Zawisza
      Pages 113-138
    3. Arndt Lüder, Nicole Schmidt, Kristofer Hell, Hannes Röpke, Jacek Zawisza
      Pages 139-167
    4. Arndt Lüder, Nicole Schmidt, Kristofer Hell, Hannes Röpke, Jacek Zawisza
      Pages 169-183
    5. Matthias Foehr, Jan Vollmar, Ambra Calà, Paulo Leitão, Stamatis Karnouskos, Armando Walter Colombo
      Pages 185-206
    6. Arndt Lüder, Nicole Schmidt, Rainer Drath
      Pages 235-257
  4. Information Modeling and Integration

    1. Front Matter
      Pages 259-259
    2. Luca Berardinelli, Alexandra Mazak, Oliver Alt, Manuel Wimmer, Gerti Kappel
      Pages 261-299
    3. Marta Sabou, Fajar J. Ekaputra, Stefan Biffl
      Pages 301-329
    4. Angelika Musil, Juergen Musil, Danny Weyns, Tomas Bures, Henry Muccini, Mohammad Sharaf
      Pages 331-368
    5. Dietmar Winkler, Manuel Wimmer, Luca Berardinelli, Stefan Biffl
      Pages 433-457

About this book


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.


industry 4.0 flexible production systems industrial automation system product development production system engineering

Editors and affiliations

  • Stefan Biffl
    • 1
  • Arndt Lüder
    • 2
  • Detlef Gerhard
    • 3
  1. 1.Institute of Software Technology and Interactive SystemsTechnische Universität WienWienAustria
  2. 2.Institute of Ergonomics, Manufacturing Systems and Automation (IAF)Otto von Guericke University MagdeburgMagdeburgGermany
  3. 3.Institute of Engineering Design and Logistics EngineeringTechnische Universität WienWienAustria

Bibliographic information


“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)​