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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Computers in Industr...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Computers in Industry
Article . 2009 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2009
Data sources: DBLP
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Advancing lean manufacturing, the role of IT

Authors: Jan Riezebos; Warse Klingenberg;

Advancing lean manufacturing, the role of IT

Abstract

This introduction to the special issue discusses the changing role of information technology (IT) in advancing lean production. Lean principles and techniques have been applied in a wide variety of organisations, from make-to-stock to engineer-to-order industries, and even in typical service sectors, such as healthcare. In order to apply lean principles in various areas, variants were developed of well-known techniques, such as Kanban, Kaizen, SMED, and 5S. IT is used to develop such variants. Over the years, the role and use of IT in the application of the lean principles has changed. In this introduction, we discuss the main findings of the papers that were selected for publication in this special issue. (C) 2009 Elsevier B.V. All rights reserved.

Country
Netherlands
Related Organizations
Keywords

Lean production, Information technology

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    19
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Top 10%
Top 10%
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