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dc.contributor.authorPeters, Steven
dc.contributor.authorChun, Jung-Hoon
dc.contributor.authorLanza, Gisela
dc.date.accessioned2018-11-09T14:34:54Z
dc.date.available2018-11-09T14:34:54Z
dc.date.issued2015-11
dc.date.submitted2015-07
dc.identifier.issn2265-4224
dc.identifier.urihttp://hdl.handle.net/1721.1/118974
dc.description.abstractAmong the current challenges to the global automotive industry are changes in global markets leading to product variety, regulation leading to pressure for new technologies in body and powertrain, and competition by new players such as huge information and communication technology companies. Automotive original equipment manufacturers (OEMs) deal with these issues in different ways. This paper uses the scenario technique to illustrate possible answers to the question, how future value chains of automotive industry will look like. In almost all cases, information and communication technology (ICT) plays a major role in future strategies to cope with the aforementioned challenges. On the one hand, ICT can boost the way to more efficient production of variants by utilizing smart manufacturing approaches, on the other hand ICT enables new features such as autonomous driving. Keywords: Smart Manufacturing; Digitalization; Scenario Techniqueen_US
dc.publisherEDP Sciencesen_US
dc.relation.isversionofhttp://dx.doi.org/10.1051/MFREVIEW/2015030en_US
dc.rightsCreative Commons Attribution 4.0 International Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceManufacturing Reviewen_US
dc.titleDigitalization of automotive industry – scenarios for future manufacturingen_US
dc.typeArticleen_US
dc.identifier.citationPeters, Steven et al. “Digitalization of Automotive Industry – Scenarios for Future Manufacturing.” Manufacturing Review 3 (2016): 1 © 2016 S. Peters et al.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Manufacturing and Productivityen_US
dc.contributor.mitauthorChun, Jung-Hoon
dc.relation.journalManufacturing Reviewen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2018-11-08T17:12:55Z
dspace.orderedauthorsPeters, Steven; Chun, Jung-Hoon; Lanza, Giselaen_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0003-1607-3581
mit.licensePUBLISHER_CCen_US


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