
Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology
Description
Key Features
- Presents diverse cases that show how cloud-based technologies can be used in different ways as part of the standard operation of global production networks
- Provides detailed reviews of new technologies like the digital twin, big data analytics, and blockchain to provide context on the role of cloud technologies in a fully digitalized system
- Explores future trends for cloud technology and production engineering
Readership
Table of Contents
1. Introduction to cloud technology and Industry 4.0
Dimitris Mourtzis
2. Expected trends in production networks for mass personalization in the cloud technology era
Alexandre Dolgui, Dmitry Ivanov, Mirco Peron, and Fabio Sgarbossa
3. Latest advances in cloud manufacturing and global production networks enabling the shift to the mass personalization paradigm
Gisela Lanza, Sina Peukert, and Gwen Louis Steier
4. The mass personalization of global networks
Dimitris Mourtzis
5. Production management guided by industrial internet of things and adaptive scheduling in smart factories
Dimitris Mourtzis, Nikos Panopoulos, and John Angelopoulos
6. Digital technologies as a solution to complexity caused by mass personalization
Nikolaos Papakostas and Aswin K. Ramasubramanian
7. Innovative smart scheduling and predictive maintenance techniques
Jinjiang Wang and Robert X. Gao
8. Review of commercial and open technologies available for Industrial Internet of Things
Günther Schuh, Matthias Jarke, Andreas Gützlaff, István Koren, Tim Janke, and Henning Neumann
9. The role of big data analytics in the context of modeling design and operation of manufacturing systems
Foivos Psarommatis, Paul Arthur Dreyfus, and Dimitris Kiritsis
10. Digital twins in industry 4.0
Panagiotis Stavropoulos and Dimitris Mourtzis
11. Review of machine learning technologies and artificial intelligence in modern manufacturing systems
Aydin Nassehi, Ray Y. Zhong, Xingyu Li, and Bogdan I. Epureanu
12. Blockchain-enabled product lifecycle management
Zhi Li, Zonggui Tian, Lihui Wang, and Ray Y. Zhong
Product details
- No. of pages: 406
- Language: English
- Copyright: © Elsevier 2021
- Published: November 10, 2021
- Imprint: Elsevier
- eBook ISBN: 9780128236581
- Paperback ISBN: 9780128236574
About the Editor
Dimitris Mourtzis
Affiliations and Expertise
Ratings and Reviews
Latest reviews
(Total rating for all reviews)
Tim Sat Oct 09 2021
State of Art
Title and contents sound on the State of Art. Definitely will not miss it.
Giannis M. Thu Sep 02 2021
Interesting Book
Interesting book title, for a well-known engineer! Looking forward for the hardcopy of the book!
George L. Sat Jul 10 2021
Book Evaluation
The title is very interesting and the book has potential! Most of the Industry 4.0 key technologies are summarized in these Chapters. Looking forward to checking the Industrial Case studies described in the Chapters of the Book.