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

  • 1st Edition - November 10, 2021
  • Latest edition
  • Editor: Dimitris Mourtzis
  • Language: English

Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology draws on the latest industry advances to provide everything needed for the effec… Read more

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Description

Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology draws on the latest industry advances to provide everything needed for the effective implementation of this powerful tool. Shorter product lifecycles have increased pressure on manufacturers through the increasing variety and complexity of production, challenging their workforce to remain competitive and profitable. This has led to innovation in production network methodologies, which together with opportunities provided by new digital technologies has fed a rapid evolution of production engineering that has opened new solutions to the challenges of mass personalization and market uncertainty.

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.

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

Researchers and engineers working in production and manufacturing engineering. Researchers and managers interested in digital transformation

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

  • Edition: 1
  • Latest edition
  • Published: November 10, 2021
  • Language: English

About the editor

DM

Dimitris Mourtzis

Dimitris Mourtzis is a Professor in the Dept. of Mechanical Engineering and Aeronautics and Vice President of the Research Council of the University of Patras. He is a Founding Member of the CLEAN AVIATION Joint Undertaking Governing Body and Director of the Laboratory for Manufacturing Systems and Automation (LMS). He is a Fellow of the International Academy for Production Research (CIRP), the International Federation of Automatic Control (IFAC), the International Federation of Information Processing (IFIP), and Member of the American Society of Mechanical Engineers (ASME) and the Institute of Electrical and Electronic Engineers (IEEE). His scientific interests focus on design, planning, and control of manufacturing systems and networks, robotic systems, automation, advanced simulation including augmented, mixed, and virtual reality in manufacturing, manufacturing processes modeling and optimization, digital manufacturing, industry 4.5, industry 5.0, metaverse, and hybrid teaching factory.
Affiliations and expertise
Professor, Laboratory for Manufacturing Systems and Automation, Department of Mechanical Engineering and Aeronautics; Vice President, Research Council, University of Patras, Rio Patras, Greece

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