Case study: the implementation of a data-driven industrial analytics methodology and platform for smart manufacturing

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dc.contributor.author O'Donovan, Peter
dc.contributor.author Bruton, Ken
dc.contributor.author O'Sullivan, Dominic T. J.
dc.date.accessioned 2018-02-06T13:36:29Z
dc.date.available 2018-02-06T13:36:29Z
dc.date.issued 2016
dc.identifier.citation O’Donovan, P., Bruton, K. and O’Sullivan, D. T. (2016) 'Case study: the implementation of a data-driven industrial analytics methodology and platform for smart manufacturing', International Journal of Prognostics and Health Management, 7,026, (22pp). en
dc.identifier.volume 7
dc.identifier.startpage 1
dc.identifier.endpage 22
dc.identifier.issn 2153-2648
dc.identifier.uri http://hdl.handle.net/10468/5397
dc.description.abstract Integrated, real-time and open approaches relating to the development of industrial analytics capabilities are needed to support smart manufacturing. However, adopting industrial analytics can be challenging due to its multidisciplinary and cross-departmental (e.g. Operation and Information Technology) nature. These challenges stem from the significant effort needed to coordinate and manage teams and technologies in a connected enterprise. To address these challenges, this research presents a formal industrial analytics methodology that may be used to inform the development of industrial analytics capabilities. The methodology classifies operational teams that comprise the industrial analytics ecosystem, and presents a technology agnostic reference architecture to facilitate the industrial analytics lifecycle. Finally, the proposed methodology is demonstrated in a case study, where an industrial analytics platform is used to identify an operational issue in a largescale Air Handling Unit (AHU). en
dc.description.sponsorship Irish Research Council/ Enterpise Ireland (EPSPG/2013/578) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher PHM Society en
dc.relation.uri http://www.phmsociety.org/sites/phmsociety.org/files/phm_submission/2016/ijphm_16_026.pdf
dc.rights © 2016, Peter O’Donovan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. en
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.subject Industrial analytics methodology en
dc.subject Smart manufacturing en
dc.title Case study: the implementation of a data-driven industrial analytics methodology and platform for smart manufacturing en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother peter_odonovan@umail.ucc.ie en
dc.internal.availability Full text available en
dc.description.version Published Version en
dc.contributor.funder DePuy Synthes Spine
dc.contributor.funder Irish Research Council
dc.contributor.funder Enterprise Ireland
dc.description.status Peer reviewed en
dc.identifier.journaltitle International Journal of Prognostics and Health Management en
dc.internal.IRISemailaddress Peter O’Donovan, Engineering, University College Cork, Cork, Ireland. +353-21-490-3000 Email: peter_odonovan@umail.ucc.ie en
dc.internal.IRISemailaddress dominic.osullivan@ucc.ie en
dc.identifier.articleid 26


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© 2016, Peter O’Donovan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Except where otherwise noted, this item's license is described as © 2016, Peter O’Donovan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 United States License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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