Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems
By Michael W. Grieves, J. Vickers. 2017
2,679 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Industrial and Manufacturing Engineering, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/157d07292ffadb2c17d100f5b0471b356868ab3e
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In Control and Systems Engineering
- Jiewu Leng
- Noël Crespi
- Aboul Ella Otifey Hassanien
- G. Lee
- Mika E. Ylianttila
- Daniela Fogli
- Roberto Minerva
- Kai Ding
In Industrial and Manufacturing Engineering
- Michele Dassisti
- Hervé Panetto
- Mario Lezoche
- Concetta Semeraro
- Chris Snider
- Ioannis N. Athanasiadis
- Jiewu Leng
- Noël Crespi
In Safety, Risk, Reliability and Quality
Citations in the corpus
- A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications (2019, methodology): “Grieves’ DT model, later formalized in his white paper [19] and in [20], was composed by three primary elements (see Fig.”
- A Digital-Twin-Assisted Fault Diagnosis Using Deep Transfer Learning (2019, background): “[16] M. Grieves and J. Vickers, ‘‘Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems,’’ in Transdisciplinary Perspectives on Complex Systems (New Findings and Approaches).”
- A Digital Twin-Based Approach for Designing and Multi-Objective Optimization of Hollow Glass Production Line (2017, methodology): “The Digital Twin was proposed and adopted by NASA for monitoring and optimization on safety and reliability optimizations of spacecraft [10], [24]–[27].”
- Knowledge-driven digital twin manufacturing cell towards intelligent manufacturing (2019, methodology): “Digital twin concept was first proposed by Grieves in 2003 (Grieves and Vickers 2017), and was initially defined as a 3D model that contains information about the physical product, digital product and connections between them.”
- Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions (2020, background): “Real-time monitoring of all sub-components and joint holistic analytics on such huge models can be beneficial (this goes along the obstacle of ’siloing’ presented in [29], where due to multiple sub-domains in the system, information remains fragmented).”
- Digital twin paradigm: A systematic literature review (2021, background): “As the concept was emerging out of the field of Product life cycle management (PLM), (Grieves and Vickers, 2017) referred to the connection between real space and virtual space over all phases of the product life cycle presenting all the elements of the Digital Twin: real space, virtual space, the…”
- Digital twin-driven rapid individualised designing of automated flow-shop manufacturing system (2019, methodology): “…the DT (Digital Twin), which was fi rstly adopted in spacecraft design by NASA (Boschert and Rosen 2016; Brenner and Hummel 2017; Ferguson, Bennett, and Ivashchenko 2017; Grieves 2014; Grieves and Vickers 2017), can be viewed as a combination of mod-elling-based method and optimisation-based method.”
- An application framework of digital twin and its case study (2018, background): “At its optimum, any information that could be inspected from a physical manufactured product can be obtained from its DT (Grieves and Vickers 2017).”
- City Digital Twin Potentials: A Review and Research Agenda (2021, background): “The digital twin concept refers to developing a mirrored digital counterpart to a physical system and linking their information throughout the physical counterpart’s life cycle [10].”