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Integrative Production Technology—Theory and Applications Read chapter Read first chapter

2017 | OriginalPaper | Chapter

4. Virtual Production Intelligence (VPI)

Authors : Sabina Jeschke, Achim Kampker, Torsten W. Kuhlen, Günther Schuh, Wolfgang Schulz, Toufik Al Khawli, Christian Büscher, Urs Eppelt, Sascha Gebhardt, Kai Kreisköther, Sebastian Pick, Rudolf Reinhard, Hasan Tercan, Julian Utsch, Hanno Voet

Published in: Integrative Production Technology

Publisher: Springer International Publishing

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Abstract

The research area Virtual Production Intelligence (VPI) focuses on the integrated support of collaborative planning processes for production systems and products. The focus of the research is on processes for information processing in the design domains Factory and Machine. These processes provide the integration and interactive analysis of emerging, mostly heterogeneous planning information. The demonstrators (flapAssist, memoSlice und VPI platform) that are information systems serve for the validation of the scientific approaches and aim to realize a continuous and consistent information management in terms of the Digital Factory. Central challenges are the semantic information integration (e.g., by means of metamodeling), the subsequent evaluation as well as the visualization of planning information (e.g., by means of Visual Analytics and Virtual Reality). All scientific and technical work is done within an interdisciplinary team composed of engineers, computer scientists and physicists.

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Footnotes
1
The results presented in Sects. 4.4.1.1 and 4.4.1.2 have been previously published in Büscher et al. (2016).
 
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Metadata
Title
Virtual Production Intelligence (VPI)
Authors
Sabina Jeschke
Achim Kampker
Torsten W. Kuhlen
Günther Schuh
Wolfgang Schulz
Toufik Al Khawli
Christian Büscher
Urs Eppelt
Sascha Gebhardt
Kai Kreisköther
Sebastian Pick
Rudolf Reinhard
Hasan Tercan
Julian Utsch
Hanno Voet
Copyright Year
2017
Book
Integrative Production Technology

Print ISBN: 978-3-319-47451-9

Electronic ISBN: 978-3-319-47452-6

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-47452-6_4