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dc.contributor.authorHanson-New, Colin
dc.contributor.authorDaniel, Jay
dc.date.accessioned2019-10-03T12:47:38Z
dc.date.available2019-10-03T12:47:38Z
dc.date.issued2019-09
dc.identifier.citationHanson-New, C., and Daniel, J. (2019), 'The Application of Big Data and AI in the Upstream Supply Chain', Proceedings of The 24th Annual Conference of The Chartered Institute of Logistics and Transport, Logistics Research Network (LRN). Northampton, United Kingdom, 4-6 September, pp, 1-8.en_US
dc.identifier.urihttp://hdl.handle.net/10545/624167
dc.description.abstractThe use of Big Data has grown in popularity in organisations to exploit the purpose of their primary data to enhance their competitiveness. In conjunction with the increased use of Big Data, there has also been a growth in the use of Artificial Intelligence (AI) to analyse the vast amounts of data generated and provide a mechanism for locating and constructing useable patterns that organisations can incorporate in their supply chain strategy programme. As these organisations embrace the use of technology and embed this in their supply chain strategy, there are questions as to how this may affect their upstream supply chains especially with regards to how SME’s may be able to cope with the potential changes. There exists the opportunity to conduct further research into this area, mainly focusing on three key industry sectors of aerospace, rail and automotive supply chains.en_US
dc.description.sponsorshipN/Aen_US
dc.language.isoenen_US
dc.publisherLogistics Research Networken_US
dc.relation.urlhttps://ciltuk.org.uk/lrn2019en_US
dc.subjectBig Dataen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectUpstream Supply Chainen_US
dc.titleThe application of big data and AI in the upstream supply chainen_US
dc.typeMeetings and Proceedingsen_US
dc.contributor.departmentUniversity of Derbyen_US
dc.identifier.journalLRN Conference Proceedingsen_US
dcterms.dateAccepted2019-04
refterms.dateFOA2019-10-03T12:47:39Z
dc.author.detail785966en_US


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