Smart data analytics for identifying dynamic bottlenecks in flexible manufacturing systems [Smart Data Analytics zur Identifikation dynamischer Engpässe in Flexiblen Fertigungssystemen]

Klenner, F; Lenze, D; Schwarzer, S; Deuse, J; Friedrich, T

Smart data analytics for identifying dynamic bottlenecks in flexible manufacturing systems [Smart Data Analytics zur Identifikation dynamischer Engpässe in Flexiblen Fertigungssystemen]

Klenner, F Lenze, D Schwarzer, S Deuse, J

Friedrich, T

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Publisher:: De Gruyter
Publication Type:: Journal Article
Citation:: Automatisierungstechnik, 2016, 64, (7), pp. 540-554
Issue Date:: 2016-07-28

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Field	Value	Language
dc.contributor.author	Klenner, F
dc.contributor.author	Lenze, D
dc.contributor.author	Schwarzer, S
dc.contributor.author	Deuse, J https://orcid.org/0000-0003-4066-4357
dc.contributor.author	Friedrich, T
dc.date.accessioned	2022-08-15T20:10:45Z
dc.date.available	2022-08-15T20:10:45Z
dc.date.issued	2016-07-28
dc.identifier.citation	Automatisierungstechnik, 2016, 64, (7), pp. 540-554
dc.identifier.issn	2196-677X
dc.identifier.issn	2196-677X
dc.identifier.uri	http://hdl.handle.net/10453/160241
dc.description.abstract	Flexible manufacturing systems are the conceptual basis for highly flexible and efficient high volume manufacturing. The inherent complexity of these systems impedes the identification of bottlenecks and therefore their efficient operation. This paper describes a method which detects shifting bottlenecks in a flexible manufacturing system by using a Smart-Data-model. Hereby the complexity of these systems can be managed and an efficient operation can be reached.
dc.language	German
dc.publisher	De Gruyter
dc.relation.ispartof	Automatisierungstechnik
dc.relation.isbasedon	10.1515/auto-2016-0014
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Smart data analytics for identifying dynamic bottlenecks in flexible manufacturing systems [Smart Data Analytics zur Identifikation dynamischer Engpässe in Flexiblen Fertigungssystemen]
dc.type	Journal Article
utslib.citation.volume	64
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-08-15T20:10:44Z
pubs.issue	7
pubs.publication-status	Published
pubs.volume	64
utslib.citation.issue	7

Abstract:

Flexible manufacturing systems are the conceptual basis for highly flexible and efficient high volume manufacturing. The inherent complexity of these systems impedes the identification of bottlenecks and therefore their efficient operation. This paper describes a method which detects shifting bottlenecks in a flexible manufacturing system by using a Smart-Data-model. Hereby the complexity of these systems can be managed and an efficient operation can be reached.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/160241