Digital Twin Driven Smart Manufacturing

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  • Publisher : Academic Press
  • Release : 07 February 2019
  • ISBN : 9780128176313
  • Page : 282 pages
  • Rating : 4.5/5 from 103 voters

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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

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Digital Twin Driven Smart Manufacturing

Digital Twin Driven Smart Manufacturing
  • Author : Fei Tao,Meng Zhang,A.Y.C. Nee
  • Publisher : Academic Press
  • Release Date : 2019-02-07
  • ISBN : 9780128176313
GET THIS BOOKDigital Twin Driven Smart Manufacturing

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 Driven Smart Design

Digital Twin Driven Smart Design
  • Author : Fei Tao,Ang Liu,Tianliang Hu
  • Publisher : Academic Press
  • Release Date : 2020-05
  • ISBN : 9780128189184
GET THIS BOOKDigital Twin Driven Smart Design

Digital Twin Driven Smart Design draws on the latest industry practice and research to establish a basis for the implementation of digital twin technology in product design. Coverage of relevant design theory and methodology is followed by detailed discussions of key enabling technologies that are supported by cutting-edge case studies of implementation. This groundbreaking book explores how digital twin technology can bring improvements to different kinds of product design process, including functional, lean and green. Drawing on the work of

Digital Twin Driven Service

Digital Twin Driven Service
  • Author : Fei Tao,Qinglin Qi,A.Y.C. Nee
  • Publisher : Academic Press
  • Release Date : 2022-03-14
  • ISBN : 9780323986151
GET THIS BOOKDigital Twin Driven Service

Digital Twin Driven Smart Service draws on the latest industry practice and research to explain how to implement digital twin service in a range of scenarios. It addresses relevant theory and methodologies, including product service, prognostic health management service, energy efficient service and testing service. Other sections discuss key enabling technologies supported by cutting-edge case studies of implementation. Drawing on the work of researchers at the forefront of this technology, this book is the ideal guide for anyone interested in

Digital Twins

Digital Twins
  • Author : Christoph Herwig,Ralf Pörtner,Johannes Möller
  • Publisher : Springer Nature
  • Release Date : 2021-05-27
  • ISBN : 9783030716608
GET THIS BOOKDigital Twins

This is the first of two volumes that together provide an overview of the latest advances in the generation and application of digital twins in bioprocess design and optimization. Both processes have undergone significant changes over the past few decades, moving from data-driven approaches into the 21st-century digitalization of the bioprocess industry. Moreover, the high demand for biotechnological products calls for efficient methods during research and development, as well as during tech transfer and routine manufacturing. In this regard, one

Digital Twin Driven Smart Design

Digital Twin Driven Smart Design
  • Author : Fei Tao,Ang Liu,Tianliang Hu,A.Y.C. Nee
  • Publisher : Academic Press
  • Release Date : 2020-05-07
  • ISBN : 9780128189191
GET THIS BOOKDigital Twin Driven Smart Design

Digital Twin Driven Smart Design draws on the latest industry practice and research to establish a basis for the implementation of digital twin technology in product design. Coverage of relevant design theory and methodology is followed by detailed discussions of key enabling technologies that are supported by cutting-edge case studies of implementation. This groundbreaking book explores how digital twin technology can bring improvements to different kinds of product design process, including functional, lean and green. Drawing on the work of

Digital Twin Technologies and Smart Cities

Digital Twin Technologies and Smart Cities
  • Author : Maryam Farsi,Alireza Daneshkhah,Amin Hosseinian-Far,Hamid Jahankhani
  • Publisher : Springer
  • Release Date : 2019-07-22
  • ISBN : 9783030187323
GET THIS BOOKDigital Twin Technologies and Smart Cities

This book provides a holistic perspective on Digital Twin (DT) technologies, and presents cutting-edge research in the field. It assesses the opportunities that DT can offer for smart cities, and covers the requirements for ensuring secure, safe and sustainable smart cities. Further, the book demonstrates that DT and its benefits with regard to: data visualisation, real-time data analytics, and learning leading to improved confidence in decision making; reasoning, monitoring and warning to support accurate diagnostics and prognostics; acting using edge

Proceedings of the 27th International Conference on Systems Engineering, ICSEng 2020

Proceedings of the 27th International Conference on Systems Engineering, ICSEng 2020
  • Author : Henry Selvaraj,Grzegorz Chmaj,Dawid Zydek
  • Publisher : Springer
  • Release Date : 2021-01-07
  • ISBN : 3030657957
GET THIS BOOKProceedings of the 27th International Conference on Systems Engineering, ICSEng 2020

This book covers topics such as AeroSpace Systems, Intelligent Systems, Machine Learning and Analytics, Internet of Things, Applied Media Informatics and Technology, Adaptive Control Systems, Software Engineering and Cyber-Physical Systems. Research in the discipline of Systems Engineering is an important concept in the advancement of engineering and information sciences. Systems Engineering attempts to integrate many of the traditional engineering disciplines to solve large complex functioning engineering systems, dependent on components from all the disciplines. The research papers contained in these

Building Industrial Digital Twins

Building Industrial Digital Twins
  • Author : Shyam Varan Nath,Pieter van Schalkwyk,Dan Isaacs
  • Publisher : Packt Publishing Ltd
  • Release Date : 2021-11-02
  • ISBN : 9781839214516
GET THIS BOOKBuilding Industrial Digital Twins

Build your first digital twin MVP and gain first-hand experience of using the technology, the challenges it presents, and its impact on your organization Key Features Create a digital twin prototype using Microsoft Azure Digital Twin Explore the digital twin approach to the design, operations, and maintenance of industrial assets and products Understand key characteristics and components of a digital twin through practical use cases and business scenarios Book Description Digital twin technology enables organizations to create digital representations of

Advanced Information Systems Engineering

Advanced Information Systems Engineering
  • Author : Schahram Dustdar,Eric Yu,Camille Salinesi,Dominique Rieu,Vik Pant
  • Publisher : Springer Nature
  • Release Date : 2020-06-02
  • ISBN : 9783030494353
GET THIS BOOKAdvanced Information Systems Engineering

This book constitutes the refereed proceedings of the 32nd International Conference on Advanced Information Systems Engineering, CAiSE 2020, held in Grenoble, France, in June 2020.* The 33 full papers presented in this volume were carefully reviewed and selected from 185 submissions. The book also contains one invited talk in full paper length. The papers were organized in topical sections named: distributed applications; AI and big data in IS; process mining and analysis; requirements and modeling; and information systems engineering. Abstracts on the CAiSE 2020 tutorials

Digital Twins in Industry

Digital Twins in Industry
  • Author : A y C Nee,S K Ong
  • Publisher : Mdpi AG
  • Release Date : 2021-11-12
  • ISBN : 3036518002
GET THIS BOOKDigital Twins in Industry

Digital Twins in Industry is a compilation of works by authors with specific emphasis on industrial applications. Much of the research on digital twins has been conducted by the academia in both theoretical considerations and laboratory-based prototypes. Industry, while taking the lead on larger scale implementations of Digital Twins (DT) using sophisticated software, is concentrating on dedicated solutions that are not within the reach of the average-sized industries. This book covers 11 chapters of various implementations of DT. It provides an

Scheduling in Industry 4.0 and Cloud Manufacturing

Scheduling in Industry 4.0 and Cloud Manufacturing
  • Author : Boris Sokolov,Dmitry Ivanov,Alexandre Dolgui
  • Publisher : Springer Nature
  • Release Date : 2020-06-08
  • ISBN : 9783030431778
GET THIS BOOKScheduling in Industry 4.0 and Cloud Manufacturing

This book has resulted from the activities of IFAC TC 5.2 “Manufacturing Modelling for Management and Control”. The book offers an introduction and advanced techniques of scheduling applications to cloud manufacturing and Industry 4.0 systems for larger audience. This book uncovers fundamental principles and recent developments in the theory and application of scheduling methodology to cloud manufacturing and Industry 4.0. The purpose of this book is to present recent developments in scheduling in cloud manufacturing and Industry 4.0 and to systemize these developments in

Advanced Information Systems Engineering Workshops

Advanced Information Systems Engineering Workshops
  • Author : Sophie Dupuy-Chessa,Henderik A. Proper
  • Publisher : Springer Nature
  • Release Date : 2020-05-15
  • ISBN : 9783030491659
GET THIS BOOKAdvanced Information Systems Engineering Workshops

This book constitutes the thoroughly refereed proceedings of the international workshops associated with the 32nd International Conference on Advanced Information Systems Engineering, CAiSE 2020, which was planned to take place in Grenoble, France, during June 8-12, 2020. Due to the Coronavirus pandemic the conference was held virtually. The workshops included in this book are: KET4DF, The Second International Workshop on Key Enabling Technologies for Digital Factories ISESL, The First International Workshop on Information Systems Engineering for Smarter Life The total of 8

Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems

Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems
  • Author : Alexandre Dolgui,Alain Bernard,David Lemoine,Gregor von Cieminski,David Romero
  • Publisher : Springer Nature
  • Release Date : 2021-09-01
  • ISBN : 9783030859107
GET THIS BOOKAdvances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems

The five-volume set IFIP AICT 630, 631, 632, 633, and 634 constitutes the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2021, held in Nantes, France, in September 2021.* The 378 papers presented were carefully reviewed and selected from 529 submissions. They discuss artificial intelligence techniques, decision aid and new and renewed paradigms for sustainable and resilient production systems at four-wall factory and value chain levels. The papers are organized in the following topical sections: Part I: artificial intelligence based optimization techniques

Mechatronic Futures

Mechatronic Futures
  • Author : Peter Hehenberger,David Bradley
  • Publisher : Springer
  • Release Date : 2016-06-10
  • ISBN : 9783319321561
GET THIS BOOKMechatronic Futures

Offering a comprehensive overview of the challenges, risks and options facing the future of mechatronics, this book provides insights into how these issues are currently assessed and managed. Building on the previously published book ‘Mechatronics in Action,’ it identifies and discusses the key issues likely to impact on future mechatronic systems. It supports mechatronics practitioners in identifying key areas in design, modeling and technology and places these in the wider context of concepts such as cyber-physical systems and the Internet

Cases on Optimizing the Asset Management Process

Cases on Optimizing the Asset Management Process
  • Author : Vicente González-Prida,Carlos Parra,Adolfo Crespo Márquez
  • Publisher : Unknown
  • Release Date : 2021
  • ISBN : 1799879437
GET THIS BOOKCases on Optimizing the Asset Management Process

"This book explains and summarizes the processes (course of actions and the number of stages or steps to follow) and the reference frame (the essential support structure and the basic system) necessary for the implementation of the introduced maintenance management model (MMM) and will help managers, technology developers, scientists and engineers to adopt and implement optimum decision making based on techniques of maintenance and reliability in organizations"--