Advertisement

Simulation for Industry 4.0

Past, Present, and Future

  • Murat M. Gunal
Book

Part of the Springer Series in Advanced Manufacturing book series (SSAM)

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Oliverio Cruz-Mejía, Alberto Márquez, Mario M. Monsreal-Barrera
    Pages 81-95
  3. Abhinav Adduri
    Pages 129-139
  4. Bhakti Stephan Onggo
    Pages 153-165
  5. Simon J. E. Taylor, Anastasia Anagnostou, Tamas Kiss
    Pages 167-189
  6. David T. Sturrock
    Pages 191-210
  7. Hankun Zhang, Borut Buchmeister, Shifeng Liu, Robert Ojstersek
    Pages 219-246
  8. Hocaoğlu M. Fatih, Genç İbrahim
    Pages 247-273
  9. Oliverio Cruz-Mejía, Alberto Márquez, Mario M. Monsreal-Barrera
    Pages C1-C1
  10. Back Matter
    Pages 285-288

About this book

Introduction

The book shows how simulation’s long history and close ties to industry since the third industrial revolution have led to its growing importance in Industry 4.0. The book emphasises the role of simulation in the new industrial revolution, and its application as a key aspect of making Industry 4.0 a reality – and thus achieving the complete digitisation of manufacturing and business. It presents various perspectives on simulation and demonstrates its applications, from augmented or virtual reality to process engineering, and from quantum computing to intelligent management.

Simulation for Industry 4.0 is a guide and milestone for the simulation community, as well as those readers working to achieve the goals of Industry 4.0. The connections between simulation and Industry 4.0 drawn here will be of interest not only to beginners, but also to practitioners and researchers as a point of departure in the subject, and as a guide for new lines of study.


Keywords

Agent Based Simulation Cyber-physical System Digital Twin Industry 4.0 Virtual and Augmented Reality Industrial internet of things Simulation for manufacturing Intelligent management Digitized manufacturing Digitized business Optimized manufacturing Smart industry Simulation-based optimization Manufacturing intelligence

Editors and affiliations

  • Murat M. Gunal
    • 1
  1. 1.Barbaros Naval Science and Engineering InstituteNational Defense University TuzlaIstanbulTurkey

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-04137-3
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-030-04136-6
  • Online ISBN 978-3-030-04137-3
  • Series Print ISSN 1860-5168
  • Series Online ISSN 2196-1735
  • Buy this book on publisher's site