Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology
Editat de Dimitris Mourtzisen Limba Engleză Paperback – 11 noi 2021
In addition to the latest developments in cloud technology, reference is made to key enabling technologies, including artificial intelligence, the digital twin, big data analytics, and the internet of things (IoT) to help users integrate the cloud approach with a fully digitalized production system.
- 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
Preț: 900.08 lei
Preț vechi: 1179.90 lei
-24% Nou
Puncte Express: 1350
Preț estimativ în valută:
172.25€ • 177.71$ • 145.79£
172.25€ • 177.71$ • 145.79£
Carte tipărită la comandă
Livrare economică 26 februarie-12 martie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9780128236574
ISBN-10: 0128236574
Pagini: 406
Ilustrații: 75 illustrations (15 in full color)
Dimensiuni: 152 x 229 mm
Greutate: 0.54 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0128236574
Pagini: 406
Ilustrații: 75 illustrations (15 in full color)
Dimensiuni: 152 x 229 mm
Greutate: 0.54 kg
Editura: ELSEVIER SCIENCE
Cuprins
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
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