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

Product 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. Review Explains how to successfully integrate cutting-edge digital technologies and production methodologies to produce mass-personalization of a competitive product range From the Back Cover Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology draws on research and the latest industry advances to provide everything needed for 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 lead to innovation in production network methodologies, which together with opportunities provided by new digital technologies has fed a rapid evolution of production engineering, opening 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 where appropriate to help integrate the cloud approach with a fully digitalized production system. By providing practical knowledge as well as important background theory, this book helps to avoid pitfalls such as malfunctions in real-time data exchange between the digital twin and the physical production system. Against a backdrop of significant digital transformation in manufacturing and production, this timely book provides a valuable framework for using these new technologies to provide increased efficiency and capability via mass-personalization. About the Author Dimitris Mourtzis is a Professor in the Department of Mechanical Engineering and Aeronautics, Laboratory for Manufacturing Systems and Automation (LMS) of the University of Patras, Greece. He is an elected Fellow of the International Academy for Production Engineering (CIRP), member of the International Federation of Automatic Control (IFAC) Manufacturing Modelling for Management and Control and member of the International Federation of Information Processing IFIP Advances in Production Management Systems, and member of the American Society of Mechanical Engineers (ASME). His research mainly focuses in the area of manufacturing systems, automation, virtual and augmented reality in manufacturing, robotics, manufacturing processes and engineering education though leading teaching factory initiates.