Defining a Digital Twin-based Cyber-Physical Production System for autonomous manufacturing in smart shop floors
By Kai Ding, Felix Tung Sun Chan, Xudong Zhang, Guanghui Zhou, Fuqiang Zhang. International Journal of Production Research, 2019
398 citations recorded by the source corpus.
Smart manufacturing is the core idea of the fourth industrial evolution. For a smart manufacturing shop floor, real-time monitoring, simulation and prediction of manufacturing operations are vital to improve the production efficiency and flexibility. In this paper, the Cyber-Physical System (CPS) and Digital Twin technologies are introduced to build the interconnection and interoperability of a physical shop floor and corresponding cybershop floor. A Digital Twin-based Cyber-Physical Production System (DT-CPPS) is further established, and the configuring mechanism, operating mechanism and real-time data-driven operations control of DT-CPPS are discussed in detail. It is expected that DT-CPPS will provide the basis for shop floors to march towards smart manufacturing.
Subfields: Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/8fc680c55f9789c6d398c5f45f1a6e8a4ddfabd5
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In Industrial and Manufacturing Engineering
- Noël Crespi
- Michele Dassisti
- G. Lee
- Hervé Panetto
- Christian Brecher
- Roberto Minerva
- Kai Ding
- Chuang Wang
Citations in the corpus
- Digital twin paradigm: A systematic literature review (2021, methodology): “(Ding et al., 2019) introduces a DT-based Cyber-Physical Production System (DT-CPPS).”
- Knowledge-driven digital twin manufacturing cell towards intelligent manufacturing (2019, background): “From the perspective of operation of KDTMC, how to keep operations synchronised between physical space, digital space and knowledge space to make KDTMC remain stable is still made difficult by the immature uniform data interfaces and out-of-step data computing technologies (Ding et al. 2019).”
- A Survey on AI-Driven Digital Twins in Industry 4.0: Smart Manufacturing and Advanced Robotics (2021, methodology): “2) Supervised Learning PGM Resource allocation for sequential manufacturing operations [36]”
- Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020, background): “The notion of selforganizing (self-X) systems is also influencing the definition of the DT [171], [172].”