Show simple item record

dc.contributor.authorPerico, Paolo
dc.contributor.authorArica, Emrah
dc.contributor.authorPowell, Daryl John
dc.contributor.authorGaiardelli, Paolo
dc.date.accessioned2020-04-24T07:07:53Z
dc.date.available2020-04-24T07:07:53Z
dc.date.created2020-01-27T14:11:57Z
dc.date.issued2019
dc.identifier.citationIFAC-PapersOnLine. 2019, 52 (13), 48-53.en_US
dc.identifier.issn2405-8963
dc.identifier.urihttps://hdl.handle.net/11250/2652305
dc.description.abstractMany firms have adopted Lean Manufacturing as a means of increasing productivity and reducing cost, often by focusing on the implementation of Lean best practices to identify and eliminate waste. This paper explores the application of Manufacturing Execution Systems (MES) to support the waste identification and elimination process. The majority of MES vendors have now incorporated Lean functionality in their software, but a comprehensive methodology that explains how MES can be used to enable and promote Lean Manufacturing is still lacking. This paper aims at filling this gap by presenting a Lean-MES framework. The proposed framework is validated and extended through a market analysis of MES software, identifying areas for further development for MES vendors.en_US
dc.language.isoengen_US
dc.publisherIFAC (International Federation of Automatic Control)en_US
dc.relation.urihttps://pdf.sciencedirectassets.com/313346/1-s2.0-S2405896319X00191/1-s2.0-S2405896319312601/main.pdf?X-Amz-Date=20200218T134021Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Signature=e9be9d87524ed052b2b9b
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleMES as an Enabler of Lean Manufacturingen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber48-53en_US
dc.source.volume52en_US
dc.source.journalIFAC-PapersOnLineen_US
dc.source.issue13en_US
dc.identifier.doi10.1016/j.ifacol.2019.11.306
dc.identifier.cristin1783188
dc.relation.projectNorges forskningsråd: 295145en_US
dc.description.localcode© 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. Under a Creative Commons CC-BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal