Overview
- Is the first book to detail simulation and Industry 4.0
- Presents the state-of-the art based on real-world experience in sectors including manufacturing, healthcare, defence, and supply chains
- Offers an essential guide for beginners, students, and professionals alike
Part of the book series: Springer Series in Advanced Manufacturing (SSAM)
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Table of contents (17 chapters)
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
About this book
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.Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Simulation for Industry 4.0
Book Subtitle: Past, Present, and Future
Editors: Murat M. Gunal
Series Title: Springer Series in Advanced Manufacturing
DOI: https://doi.org/10.1007/978-3-030-04137-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-04136-6Published: 06 June 2019
eBook ISBN: 978-3-030-04137-3Published: 25 May 2019
Series ISSN: 1860-5168
Series E-ISSN: 2196-1735
Edition Number: 1
Number of Pages: XXII, 288
Topics: Industrial and Production Engineering, Simulation and Modeling, Operations Research, Management Science, Operations Management