Time data management in machine tool industry

Krebs, M; Hartung, J; Hengstebeck, A; Kuske, P; Deuse, J

Time data management in machine tool industry

Krebs, M Hartung, J Hengstebeck, A Kuske, P Deuse, J

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Publication Type:: Journal Article
Citation:: Productivity Management, 2016, 21, (4), pp. 25-28
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Krebs, M
dc.contributor.author	Hartung, J
dc.contributor.author	Hengstebeck, A
dc.contributor.author	Kuske, P
dc.contributor.author	Deuse, J https://orcid.org/0000-0003-4066-4357
dc.date.accessioned	2022-08-16T01:00:53Z
dc.date.available	2022-08-16T01:00:53Z
dc.date.issued	2016-01-01
dc.identifier.citation	Productivity Management, 2016, 21, (4), pp. 25-28
dc.identifier.issn	1868-8519
dc.identifier.uri	http://hdl.handle.net/10453/160286
dc.description.abstract	Time data management is a significant success factor to unlock elusive potentials for productivity management in lean production systems. Nevertheless, the importance was underestimated for a long time and in many companies essential organizational structures as well as know-how were neglected. Reliable and precise times, however, can be estimated by using standard data building blocks with low effort in every phase of the product development process.
dc.language	en
dc.relation.ispartof	Productivity Management
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Time data management in machine tool industry
dc.type	Journal Article
utslib.citation.volume	21
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	2022-08-16T01:00:52Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	21
utslib.citation.issue	4

Abstract:

Time data management is a significant success factor to unlock elusive potentials for productivity management in lean production systems. Nevertheless, the importance was underestimated for a long time and in many companies essential organizational structures as well as know-how were neglected. Reliable and precise times, however, can be estimated by using standard data building blocks with low effort in every phase of the product development process.

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http://hdl.handle.net/10453/160286