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dc.contributor.authorZaki, MEH
dc.contributor.authorTheodoulidis, B
dc.contributor.authorShapira, P
dc.contributor.authorNeely, A
dc.contributor.authorTepel, MF
dc.date.accessioned2017-10-17T09:11:11Z
dc.date.available2017-10-17T09:11:11Z
dc.date.issued2019
dc.identifier.issn0953-7287
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/267860
dc.description.abstractDigitalisation and the growth of big data promise greater customisation as well as change in how manufacturing is distributed. Yet, challenges arise in applying these new approaches in consumer goods industries that often emphasise mass production and extended supply chains. We build a conceptual framework to explore whether big data combined with new manufacturing technologies can facilitate redistributed manufacturing. Through analysis of 24 consumer goods industry cases using primary and secondary data, we investigate evolving manufacturing configurations, their underlying drivers, the role of big data applications, and their impact on the redistribution of manufacturing. We find some applications of redistributed manufacturing concepts, although in other cases existing manufacturing configurations are leveraged for high volume consumer goods products through big data analytics and market segmentation. The analysis indicates that the framework put forward in the paper has broader value in organising thinking about emerging interrelationships between big data and manufacturing.
dc.description.sponsorshipThe work was supported by the Engineering and Physical Sciences Research Council (EPSRC) and the Economic and Social Research Council (ESRC) through The Network in Consumer Goods, Big Data and Re-Distributed Manufacturing (RECODE) hosted at Cranfield University under grant number EP/M017567/1.
dc.language.isoen
dc.publisherTaylor & Francis
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectredistributed manufacturing
dc.subjectbig data
dc.subjectdigital manufacturing
dc.subjectpersonalisation
dc.subjectcustomisation
dc.subjectdigital factory
dc.titleRedistributed Manufacturing and the Impact of Big Data: A Consumer Goods Perspective
dc.typeArticle
prism.endingPage581
prism.issueIdentifier7
prism.publicationNameProduction Planning and Control
prism.startingPage568
prism.volume30
dc.identifier.doi10.17863/CAM.13779
dcterms.dateAccepted2017-08-22
rioxxterms.versionofrecord10.1080/09537287.2018.1540068
rioxxterms.versionVor
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
rioxxterms.licenseref.startdate2017-08-22
dc.contributor.orcidZaki, Mohamed [0000-0003-0264-2691]
dc.contributor.orcidNeely, Andrew [0000-0001-8220-5242]
dc.identifier.eissn1366-5871
dc.publisher.urlhttps://www.tandfonline.com/doi/full/10.1080/09537287.2018.1540068
rioxxterms.typeJournal Article/Review
cam.issuedOnline2019-05-15
dc.identifier.urlhttps://www.tandfonline.com/doi/full/10.1080/09537287.2018.1540068
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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International