2016
DOI: 10.1016/j.cirp.2016.04.051
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Semantic data management for the development and continuous reconfiguration of smart products and systems

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Cited by 94 publications
(47 citation statements)
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“…However, the core ideas of all definitions are similar. Grieves defines the digital twin as "a set of virtual information constructs that fully describes a potential or actual physical manufactured product from the micro atomic level to the macro geometrical level" [19][20][21]. Shafto et al define the digital twin as "an integrated multiphysics, multiscale simulation of a vehicle or system that uses the best available physical models, sensor updates, fleet history, etc., to mirror the life of its corresponding flying twin" [22,23].…”
Section: Introductionmentioning
confidence: 99%
“…However, the core ideas of all definitions are similar. Grieves defines the digital twin as "a set of virtual information constructs that fully describes a potential or actual physical manufactured product from the micro atomic level to the macro geometrical level" [19][20][21]. Shafto et al define the digital twin as "an integrated multiphysics, multiscale simulation of a vehicle or system that uses the best available physical models, sensor updates, fleet history, etc., to mirror the life of its corresponding flying twin" [22,23].…”
Section: Introductionmentioning
confidence: 99%
“…These models not only serve for the design verification and validation [7], but are also increasingly used as the master product model comprising the model-based definition of required product characteristics [8]. Moreover, the evolvements in "microchip, sensor and IT technologies" [9] paved the way for the advent of smart products, which track and communicate their operating conditions and thus allow to "feed" their product models with data about their status, such as environmental conditions and loads. s Beside this, modern sensing routines, which go even beyond geometrical measurement and scanning, allow the easy, quick, and reliable collection of large sets of data from physical artefacts.…”
Section: The Origin and Evolution Of The Digital Twinmentioning
confidence: 99%
“…For this reason, we consider the area of IT service management as the fundamental management field responsible for the value delivery of a DT covering the 'how' to provide a product or service. IT service management is a key activity to ensure, for example, the services of smart products (based on DT) from planning through operation and phasing out [1], which implies that a DT itself needs PLM for its own services.…”
Section: Products and Servicesmentioning
confidence: 99%