Digital Twin Driven Smart Manufacturing examines the background, latest research, and application models for digital twin technology, and shows how it can be central to a smart manufacturing process.

The interest in digital twin in manufacturing is driven by a need for excellent product reliability, and an overall trend towards intelligent, and connected manufacturing systems. This book provides an ideal entry point to this subject for readers in industry and academia, as it answers the questions: (a) What is a digital twin? (b) How to construct a digital twin? (c) How to use a digital twin to improve manufacturing efficiency? (d) What are the essential activities in the implementation of a digital twin? (e) What are the most important obstacles to overcome for the successful deployment of a digital twin? (f) What are the relations between digital twin and New Technologies? (g) How to combine digital twin with the New Technologies to achieve high efficiency and smartness in manufacturing?

This book focuses on these problems as it aims to help readers make the best use of digital twin technology towards smart manufacturing.

Analyzes the differences, synergies and possibilities for integration between digital twin technology and other technologies, such as big data, service and Internet of Things
Discuss new requirements for a traditional three-dimension digital twin and proposes a methodology for a five-dimension version
Investigates new models for optimized manufacturing, prognostics and health management, and cyber-physical fusion based on the digital twin

About the Authors

Fei Tao is a Professor at the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. His research interests are service-oriented smart manufacturing, manufacturing service management and optimization, digital twin driven product design/manufacturing/service, green and sustainable manufacturing.

Meng Zhang is a PhDd student at the School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. Her research is focused on digital twin technology in manufacturing and sustainable manufacturing.

A.Y.C. Nee is Professor Emeritus in Manufacturing Engineering at the National University of Singapore. His research interests include the use of AI, virtual and augmented reality applications in manufacturing, sustainable product design and life cycle engineering, and computer aided manufacturing design. He is Fellow of CIRP, Fellow of SME and Fellow of the Academy of Engineering Singapore.

"About this title" may belong to another edition of this title.

Store Description

We carry a wide selection of books from South Asia, United States, UK.

Visit Seller's Storefront

Seller's business information

Readingos GmbH
Kaiserstra�e 47, Frankfurt am Main, 60329, Germany

Sale & Shipping Terms

Terms of Sale

Shipping Terms

To ensure faster delivery, books may be shipped from any of the following locations Germany, the United Kingdom (UK), the United States (US), based on the buyer's address and product availability.

Shipping rates from Germany to U.S.A.

Shipping rates from Germany to U.S.A.
Order quantity	25 to 45 business days	8 to 14 business days
First item	US$ 11.64	US$ 21.89

Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.