Influence and causes of variability in customer order-specific production

Wolf, P; Deuse, J; Richter, R

Influence and causes of variability in customer order-specific production

Wolf, P Deuse, J Richter, R

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Publisher:: Carl Hanser Verlag
Publication Type:: Journal Article
Citation:: ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 2019, 114, (11), pp. 730-733
Issue Date:: 2019-01-01

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Field	Value	Language
dc.contributor.author	Wolf, P
dc.contributor.author	Deuse, J
dc.contributor.author	Richter, R
dc.date.accessioned	2020-06-22T22:41:55Z
dc.date.available	2020-06-22T22:41:55Z
dc.date.issued	2019-01-01
dc.identifier.citation	ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 2019, 114, (11), pp. 730-733
dc.identifier.issn	0947-0085
dc.identifier.issn	0947-0085
dc.identifier.uri	http://hdl.handle.net/10453/141623
dc.description.abstract	© Carl Hanser Verlag GmbH & Co. KG Definition and integration of quantitative criteria for variability-considering machine allocation planning. In order to maintain their competitiveness, companies with customer-specific productions require a high degree of flexibility in dealing with value-adding and non-value-adding variability. This article defines 14 variability criteria, including mathematical descriptions of these, which in the following represent the input of a variability-considering machine allocation planning approach adapted to the needs of customer order-specific production.
dc.language	de
dc.publisher	Carl Hanser Verlag
dc.relation.ispartof	ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
dc.relation.isbasedon	10.3139/104.112184
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Industrial Engineering & Automation
dc.title	Influence and causes of variability in customer order-specific production
dc.type	Journal Article
utslib.citation.volume	114
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
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2020-06-22T22:41:49Z
pubs.issue	11
pubs.publication-status	Published
pubs.volume	114
utslib.citation.issue	11

Abstract:

© Carl Hanser Verlag GmbH & Co. KG Definition and integration of quantitative criteria for variability-considering machine allocation planning. In order to maintain their competitiveness, companies with customer-specific productions require a high degree of flexibility in dealing with value-adding and non-value-adding variability. This article defines 14 variability criteria, including mathematical descriptions of these, which in the following represent the input of a variability-considering machine allocation planning approach adapted to the needs of customer order-specific production.

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http://hdl.handle.net/10453/141623