Experimentable Digital Twins—Streamlining Simulation-Based Systems Engineering for Industry 4.0
By Michael Schluse, Marc Priggemeyer, Linus Atorf, J. Rossmann. IEEE Transactions on Industrial Informatics, 2018
397 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/7525328002640456f2b641aa48c0d31660cb62f0
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In Industrial and Manufacturing Engineering
- Samad M. E. Sepasgozar
- Andrew Yeh-Ching Nee
- Fei Tao
- Ang Liu
- He Zhang
- Ala Al-Fuqaha
- Qinglin Qi
- Zhong Fan
In Management Science and Operations Research
Citations in the corpus
- Digital twin paradigm: A systematic literature review (2021, neutral): “Functional Mock-Up Interface (FMU) standard is commonly used in digital twins to solve this problem (Negri et al., 2019) (Schluse et al., 2018).”
- Industrial applications of digital twins (2021, background): “— Experimental DT and simulation-based technologies, demonstrated on a lab-scale robot system [48].”
- The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities (2021, background): “, planning, process control, scheduler, assembly line) [87], [88], and take decisions dynamically based on physical sensor data and/or virtual twin data.”
- Blockchain for AI: Review and Open Research Challenges (2019, background): “Table 1 shows few emerging trends in AI applications such as explainable AI [9], [30], digital twins [31], automated machine learning [32], hybrid learning models [33], and lean and augmented data learning [34], and the perceived benefits”
- Low-Latency Federated Learning and Blockchain for Edge Association in Digital Twin Empowered 6G Networks (2020, background): “Digital twins represent real objects or subjects with their data, functions, and communication capabilities in the digital space [8].”
- Digital Twin in Industry: State-of-the-Art (2019, background): “They also considered the EDT as an enabler of the simulation-based system engineering, optimization, and control [44].”
- Digital Twin: Values, Challenges and Enablers From a Modeling Perspective (2019, background): “According to the authors in [5], digital twins represent real”
- A Digital-Twin-Assisted Fault Diagnosis Using Deep Transfer Learning (2019, background): “Digital twin is no longer a descriptive three dimensional object, it represents physical entities with their functions, behaviors and rules dynamically [2], [3].”
- Differentiating Digital Twin from Digital Shadow: Elucidating a Paradigm Shift to Expedite a Smart, Sustainable Built Environment (2021, methodology): “The The real-time optimisation, virtual replica [60,77], dynamic digital replica [78], and dynamic the”