Quality-based order assignment - Assignment of intermediate products to customer orders based on quality predictions

Schmitt, J; Wiegand, M; Deuse, J

Quality-based order assignment - Assignment of intermediate products to customer orders based on quality predictions

Schmitt, J Wiegand, M Deuse, J

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Publisher:: Walter de Gruyter GmbH
Publication Type:: Journal Article
Citation:: ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 2018, 113, (4), pp. 191-194
Issue Date:: 2018-04-01

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Field	Value	Language
dc.contributor.author	Schmitt, J
dc.contributor.author	Wiegand, M
dc.contributor.author	Deuse, J https://orcid.org/0000-0003-4066-4357
dc.date.accessioned	2022-09-01T22:34:20Z
dc.date.available	2022-09-01T22:34:20Z
dc.date.issued	2018-04-01
dc.identifier.citation	ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 2018, 113, (4), pp. 191-194
dc.identifier.issn	0947-0085
dc.identifier.issn	2511-0896
dc.identifier.uri	http://hdl.handle.net/10453/161204
dc.description.abstract	Fulfilling customer quality requirements is a key competitive factor for companies. The customer requirements for a product can thereby be very different. In this paper a concept for optimal assignment of intermediate products to customer orders from the backlog on the basis of quality predictions is presented. The aim of the concept is to reduce scrap and delivery date deviations.
dc.language	en
dc.publisher	Walter de Gruyter GmbH
dc.relation.ispartof	ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
dc.relation.isbasedon	10.3139/104.111896
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Industrial Engineering & Automation
dc.title	Quality-based order assignment - Assignment of intermediate products to customer orders based on quality predictions
dc.type	Journal Article
utslib.citation.volume	113
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	*
dc.date.updated	2022-09-01T22:34:18Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	113
utslib.citation.issue	4

Abstract:

Fulfilling customer quality requirements is a key competitive factor for companies. The customer requirements for a product can thereby be very different. In this paper a concept for optimal assignment of intermediate products to customer orders from the backlog on the basis of quality predictions is presented. The aim of the concept is to reduce scrap and delivery date deviations.

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

http://hdl.handle.net/10453/161204