Creating lean value streams through proactive variability management

Richter, R; Syberg, M; Deuse, J; Willats, P; Lenze, D

Creating lean value streams through proactive variability management

Richter, R Syberg, M Deuse, J

Willats, P Lenze, D

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Publisher:: TAYLOR & FRANCIS LTD
Publication Type:: Journal Article
Citation:: International Journal of Production Research, 2022
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Richter, R
dc.contributor.author	Syberg, M
dc.contributor.author	Deuse, J https://orcid.org/0000-0003-4066-4357
dc.contributor.author	Willats, P
dc.contributor.author	Lenze, D
dc.date.accessioned	2023-01-20T02:35:30Z
dc.date.available	2023-01-20T02:35:30Z
dc.date.issued	2022-01-01
dc.identifier.citation	International Journal of Production Research, 2022
dc.identifier.issn	0020-7543
dc.identifier.issn	1366-588X
dc.identifier.uri	http://hdl.handle.net/10453/165305
dc.description.abstract	Complex product and production systems often result in high variability in the production flow, prohibiting the sustainable implementation of lean practices. In this paper the authors introduce a PDCA cycle to analyse and reduce variability in value streams. The value stream is divided into zones, which are then qualified as stable or unstable. Lean practices can be applied in stable zones, unstable zones remain expert-driven. Measures are introduced to reduce variability in unstable zones with the ultimate target, to turn them into stable zones, extending sustainable lean activities in the value stream, step by step. An IT system is developed to acquire, process and visualise the vast amount of data to provide structured information for experts and management for the reduction of variability in production.
dc.language	English
dc.publisher	TAYLOR & FRANCIS LTD
dc.relation.ispartof	International Journal of Production Research
dc.relation.isbasedon	10.1080/00207543.2022.2111614
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Operations Research
dc.title	Creating lean value streams through proactive variability management
dc.type	Journal Article
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
pubs.organisational-group	/University of Technology Sydney/Strength - CAM - Centre for Advanced Manufacturing
utslib.copyright.status	closed_access	*
dc.date.updated	2023-01-20T02:35:26Z
pubs.publication-status	Published

Abstract:

Complex product and production systems often result in high variability in the production flow, prohibiting the sustainable implementation of lean practices. In this paper the authors introduce a PDCA cycle to analyse and reduce variability in value streams. The value stream is divided into zones, which are then qualified as stable or unstable. Lean practices can be applied in stable zones, unstable zones remain expert-driven. Measures are introduced to reduce variability in unstable zones with the ultimate target, to turn them into stable zones, extending sustainable lean activities in the value stream, step by step. An IT system is developed to acquire, process and visualise the vast amount of data to provide structured information for experts and management for the reduction of variability in production.

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http://hdl.handle.net/10453/165305