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dc.contributor.authorPowell, Daryl John
dc.contributor.authorLodgaard, Eirin Anita
dc.contributor.authorMogos, Flavia Maria
dc.date.accessioned2022-08-26T11:08:11Z
dc.date.available2022-08-26T11:08:11Z
dc.date.created2021-11-27T16:01:11Z
dc.date.issued2021
dc.identifier.citationProcedia CIRP. 2021, 104, 1355-1360.en_US
dc.identifier.issn2212-8271
dc.identifier.urihttps://hdl.handle.net/11250/3013762
dc.description.abstractTo remain competitive in today’s increasingly dynamic and complex environments, manufacturing enterprises must build resilience to respond to changes quickly. As such, lean production has provided firms with an alternative to "fat and lazy" mass production. In addition, Quick Response Manufacturing has been presented as a credible supplement to lean production, specifically in High Mix, Low Volume environments. Drawing on practical insights from two case studies, we present a Quick-Scan method as an initial step towards creating resilient and responsive value chain strategies. The approach combines manufacturing critical-path time mapping from Quick Response Manufacturing with Gemba-based discovery and learning from Lean - to find, face, and frame real problems, and thereafter form solutions together with managers and front-line personnel. The method has been adopted in both cases as a means of revitalizing operations with the intention of enabling more effective delivery of customer-specific products.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectLeanen_US
dc.subjectQuick response manufacturingen_US
dc.subjectOperationsen_US
dc.subjectStrategyen_US
dc.titleQuick-Scan – Towards a Strategy for Responsive and Resilient Value Chainsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2021 The Authorsen_US
dc.source.pagenumber1355-1360en_US
dc.source.volume104en_US
dc.source.journalProcedia CIRPen_US
dc.identifier.doi10.1016/j.procir.2021.11.228
dc.identifier.cristin1960201
dc.relation.projectNorges forskningsråd: 310079en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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