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Open AccessJournal ArticleDOI

Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing

Fei Tao, +1 more
- 26 Sep 2017 - 
- Vol. 5, pp 20418-20427
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TLDR
A novel concept of digital twin shop-floor (DTS) based on digital twin is explored and its four key components are discussed, including physicalShop-floor, virtual shop- Floor, shop- floor service system, and shop-ground digital twin data.
Abstract
With the developments and applications of the new information technologies, such as cloud computing, Internet of Things, big data, and artificial intelligence, a smart manufacturing era is coming. At the same time, various national manufacturing development strategies have been put forward, such as Industry 4.0 , Industrial Internet , manufacturing based on Cyber-Physical System , and Made in China 2025 . However, one of specific challenges to achieve smart manufacturing with these strategies is how to converge the manufacturing physical world and the virtual world, so as to realize a series of smart operations in the manufacturing process, including smart interconnection, smart interaction, smart control and management, etc. In this context, as a basic unit of manufacturing, shop-floor is required to reach the interaction and convergence between physical and virtual spaces, which is not only the imperative demand of smart manufacturing, but also the evolving trend of itself. Accordingly, a novel concept of digital twin shop-floor (DTS) based on digital twin is explored and its four key components are discussed, including physical shop-floor, virtual shop-floor, shop-floor service system, and shop-floor digital twin data. What is more, the operation mechanisms and implementing methods for DTS are studied and key technologies as well as challenges ahead are investigated, respectively.

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Citations
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A novel framework for online decision-making and feedback optimization of complex products process parameter based on edge-cloud collaboration

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Proceedings ArticleDOI

Towards a digital Z framework based on a family of architectures and a virtual knowledge graph

TL;DR: In this article , a general framework for the design, deployment and operation of Digital Z (where Z can be model, shadow, twin, passport, avatar, etc) is proposed.
Book ChapterDOI

A Complete Digital Chain to Enable the Digital Twin of a Shop Floor

TL;DR: The concept of digital twins is a recent paradigm as mentioned in this paper, which creates an entangled link between the physical system and its digital twin, and the digital twin has no sense without the existence of a physical system.
References
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Book ChapterDOI

Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems

TL;DR: Digital twins as discussed by the authors link the physical system with its virtual equivalent to mitigate the problematic issues due to human interaction in the process of creation, production, operations, and disposal of a system.
Journal ArticleDOI

Cyber-physical production systems: Roots, expectations and R&D challenges

TL;DR: There are significant roots generally and particularly in the CIRP community -which point towards CPPSs, and Expectations and the related new R&D challenges will be outlined.
Journal ArticleDOI

Reengineering Aircraft Structural Life Prediction Using a Digital Twin

TL;DR: A conceptual model of how the Digital Twin can be used for predicting the life of aircraft structure and assuring its structural integrity is presented and the technical challenges to developing and deploying a Digital Twin are discussed.
Journal ArticleDOI

Cloud manufacturing: a computing and service-oriented manufacturing model:

TL;DR: The concept, architecture, core enabling technologies, and typical characteristics of CMfg are discussed and investigated, as well as the differences and relationship between cloud computing and CMfg.
Journal ArticleDOI

RFID-enabled real-time manufacturing execution system for mass-customization production

TL;DR: In this article, an RFID-enabled real-time manufacturing execution system (RT-MES) is proposed to track and trace manufacturing objects and collect realtime production data.
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