Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology

<p>1. Introduction to cloud technology and Industry 4.0</p> <p>Dimitris Mourtzis</p> <p>2. Expected trends in production networks for mass personalization in the cloud technology era</p> <p>Alexandre Dolgui, Dmitry Ivanov, Mirco Peron, and Fabio Sgarbossa</p> <p>3. Latest advances in cloud manufacturing and global production networks enabling the shift to the mass personalization paradigm</p> <p>Gisela Lanza, Sina Peukert, and Gwen Louis Steier</p> <p>4. The mass personalization of global networks</p> <p>Dimitris Mourtzis</p> <p>5. Production management guided by industrial internet of things and adaptive scheduling in smart factories</p> <p>Dimitris Mourtzis, Nikos Panopoulos, and John Angelopoulos</p> <p>6. Digital technologies as a solution to complexity caused by mass personalization</p> <p>Nikolaos Papakostas and Aswin K. Ramasubramanian</p> <p>7. Innovative smart scheduling and predictive maintenance techniques</p> <p>Jinjiang Wang and Robert X. Gao</p> <p>8. Review of commercial and open technologies available for Industrial Internet of Things</p> <p>Günther Schuh, Matthias Jarke, Andreas Gützlaff, István Koren, Tim Janke, and Henning Neumann</p> <p>9. The role of big data analytics in the context of modeling design and operation of manufacturing systems</p> <p>Foivos Psarommatis, Paul Arthur Dreyfus, and Dimitris Kiritsis</p> <p>10. Digital twins in industry 4.0</p> <p>Panagiotis Stavropoulos and Dimitris Mourtzis</p> <p>11. Review of machine learning technologies and artificial intelligence in modern manufacturing systems</p> <p>Aydin Nassehi, Ray Y. Zhong, Xingyu Li, and Bogdan I. Epureanu</p> <p>12. Blockchain-enabled product lifecycle management</p> <p>Zhi Li, Zonggui Tian, Lihui Wang, and Ray Y. Zhong</p>