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

By Fei Tao. IEEE Access, 2017

1,071 citations recorded by the source corpus.

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.

Subfields: Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/8b77cd55a39c4c8c87f8a6a6572078e247630829

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In Industrial and Manufacturing Engineering

Citations in the corpus

Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues (2020, methodology): “[8] Shop floor Digital Twin of shop floor to support smart operations in the manufacturing process”
Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison (2018, background): “physical world, have been being strengthened [28].”
Digital Twin in Industry: State-of-the-Art (2019, background): “resents the physical entity; VE represents the virtual entity; Ss represents the services for both PE and VE; DD stands for the DT data; and CN means the connection of different parts [12], [74].”
Knowledge-driven digital twin manufacturing cell towards intelligent manufacturing (2019, background): “Qi and Tao (2018) introduced a serial digital twin-driven frameworks for smart manufacturing, including digital twin-driven design (Tao, Sui, et al. 2018), manufacturing (Tao and Zhang 2017), service (Tao, Cheng, et al. 2018) and prognostics and health management (Tao, Zhang, et al. 2018).”
A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies (2022, background): “2018; Qi and Tao 2018; Tao and Zhang 2017; Qi et al.”
Digital Twin: Enabling Technologies, Challenges and Open Research (2020, methodology): “Again, down to the issue of having no standardised Digital Twin modelling methods [91].”
Characterising the Digital Twin: A systematic literature review (2020, methodology): “All papers that cite one of three seminal papers, Grieves [33,34] or Tao et al. paper [88] where also reviewed.”
A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications (2019, methodology): “Though the DT model is generally viewed as a three-dimensional structure where physical entities and their virtual models communicate through proper connections, Tao and Zhang [57], Tao et al. [58], while describing their concept of DT shop ﬂoor, gave more importance to the intelligent applications ”
Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison (2019, background): “The ﬁrst and most important step is to create high-ﬁdelity virtual models to realistically reproduce the geometries, physical properties, behaviors, and rules of the physical world [22].”