Resilienzsteigerung durch Wissenstransfer in CPPS

P. Schmiedgen; S. Tschöpe; P. Nyhuis; J. R. Noennig

doi:10.37544/1436-4980-2014-3-164

Resilienzsteigerung durch Wissenstransfer in CPPS

Translated title of the contribution: Resilience through Knowledge Transfer in CPPS

P. Schmiedgen, S. Tschöpe, P. Nyhuis, J. R. Noennig

Abstract

Smart factories follow the idea that increasing complexity of production systems can be solved by the integration of cyber-physical solutions. Unexpected dysfunctions should be fixed self-regulated and proactive. In the first step, this requires the transfer of human knowledge models to cyber-physical systems. The article describes the role of dynamic knowledge transfer in resilience of cyber-physical production systems and introduces an approach for knowledge modeling.

Translated title of the contribution	Resilience through Knowledge Transfer in CPPS
Original language	German
Pages (from-to)	164-168
Journal	WT Werkstattstechnik
Volume	104
Issue number	3
DOIs	https://doi.org/10.37544/1436-4980-2014-3-164
Publication status	Published - 1 Jan 2014
Externally published	Yes

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10.37544/1436-4980-2014-3-164

Cite this

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title = "Resilienzsteigerung durch Wissenstransfer in CPPS",

abstract = "Smart factories follow the idea that increasing complexity of production systems can be solved by the integration of cyber-physical solutions. Unexpected dysfunctions should be fixed self-regulated and proactive. In the first step, this requires the transfer of human knowledge models to cyber-physical systems. The article describes the role of dynamic knowledge transfer in resilience of cyber-physical production systems and introduces an approach for knowledge modeling.",

author = "P. Schmiedgen and S. Tsch{\"o}pe and P. Nyhuis and Noennig, \{J. R.\}",

note = "Publisher Copyright: {\textcopyright} Springer-VDI-Verlag GmbH \& Co. KG, D{\"u}sseldorf.",

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AU - Schmiedgen, P.

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AU - Nyhuis, P.

AU - Noennig, J. R.

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AB - Smart factories follow the idea that increasing complexity of production systems can be solved by the integration of cyber-physical solutions. Unexpected dysfunctions should be fixed self-regulated and proactive. In the first step, this requires the transfer of human knowledge models to cyber-physical systems. The article describes the role of dynamic knowledge transfer in resilience of cyber-physical production systems and introduces an approach for knowledge modeling.

U2 - 10.37544/1436-4980-2014-3-164

DO - 10.37544/1436-4980-2014-3-164

M3 - (Wissenschaftlicher) Artikel

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SN - 1436-4980

VL - 104

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EP - 168

JO - WT Werkstattstechnik

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