Digital Twin—The Simulation Aspect

By S. Boschert, R. Rosen. 2016

1,023 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/7bbce31bee697d7df424f381fdb4f0099f5b2ad0

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In Industrial and Manufacturing Engineering

Citations in the corpus

A Novel Cloud-Based Framework for the Elderly Healthcare Services Using Digital Twin (2019, background): “From the description of the digital twin, it has the following characteristics [29]: Currently, the digital twin is mainly used in product design and service management, manufacturing, product life prediction, and real-time monitoring of equipment in industry.”
Digital twins in smart farming (2021, background): “…Digital Twin for this idea (Mike Shafto et al., 2012), which was an ultra-high fidelity simulation of the space vehicle that would allow the engineers on earth to mirror the precise and actual conditions of the real vehicle during the mission (Glaessgen and Stargel, 2012; Boschert and Rosen, 2016).”
Digital twin-driven manufacturing cyber-physical system for parallel controlling of smart workshop (2018, methodology): “With the advent of CPS, the Digital Twin (Boschert and Rosen 2016; Brenner and Hummel 2017; Ferguson et al. 2017; Grieves 2014; Grieves and Vickers 2017) appears as a practical solution to the manufacturing CPS vision.”
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].”
Shaping the digital twin for design and production engineering (2017, background): “However, the digital twin is not one complete model of the physical product, but a set of linked operation data artefacts and simulation models, which are of suitable granularity for their intended purpose and evolve throughout the product lifecycle [4].”
Digital Twin: Origin to Future (2021, methodology): “The ﬁrst few deﬁnitions of DT that came out described DT only in respect to the aerospace/aeronautics industry which then ventured into manufacturing, which is why the words such as ‘aircraft’ [23,25,30], ‘vehicle’ [20,26,48], or ‘airframe’ [25,29] were replaced by ‘system’ [2,7,21,22,34–36,40, 50–”
Introducing digital twins to agriculture (2021, background): “…the physical and virtual spaces (Tao et al., 2018), guaranteeing information continuity through the system lifecycle (Haag and Anderl, 2018), system development and validation through simulation (Boschert and Rosen, 2016), and preventing undesirable system states (Grieves and Vickers, 2017).”
Simulation in the design and operation of manufacturing systems: state of the art and new trends (2019, background): “The digital twin of a product, begins from its design and manufacturing phase, storing important data from its creation, though most data are generated in its operation phase; an interesting review on the impact of each phase is presented by Boschert and Rosen (2016).”