IAMM: A maturity model for measuring industrial analytics capabilities in large-scale manufacturing facilities

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dc.contributor.authorO'Donovan, Peter
dc.contributor.authorBruton, Ken
dc.contributor.authorO'Sullivan, Dominic T. J.
dc.contributor.funderIrish Research Council
dc.contributor.funderEnterprise Ireland
dc.contributor.funderDePuy Synthes Spine
dc.date.accessioned2018-02-06T13:36:29Z
dc.date.available2018-02-06T13:36:29Z
dc.date.issued2016
dc.description.abstractIndustrial big data analytics is an emerging multidisciplinary field, which incorporates aspects of engineering, statistics and computing, to produce data-driven insights that can enhance operational efficiencies, and produce knowledgebased competitive advantages. Developing industrial big data analytics capabilities is an ongoing process, whereby facilities continuously refine collaborations, workflows and processes to improve operational insights. Such activities should be guided by formal measurement methods, to strategically identify areas for improvement, demonstrate the impact of analytics initiatives, as well as deriving benchmarks across facilities and departments. This research presents a formal multi-dimensional maturity model for approximating industrial analytics capabilities, and demonstrates the model’s ability to assess the impact of an initiative undertaken in a real-world facility.en
dc.description.sponsorshipIrish Research Council/ Enterprise Ireland (EPSPG/2013/578)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid32
dc.identifier.citationO’Donovan, P., Bruton, K. and O’Sullivan, D. T. J. (2016) 'IAMM: a maturity model for measuring industrial analytics capabilities in large-scale manufacturing facilities', International Journal of Prognostics and Health Management, 7, 032, (11pp).en
dc.identifier.issn2153-2648
dc.identifier.journaltitleInternational Journal of Prognostics and Health Managementen
dc.identifier.urihttps://hdl.handle.net/10468/5396
dc.identifier.volume7
dc.language.isoenen
dc.publisherPHM Societyen
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.urihttps://creativecommons.org/licenses/by/3.0/
dc.subjectEngineeringen
dc.subjectStatisticsen
dc.subjectComputingen
dc.subjectIndustrial analyticsen
dc.subjectMulti-dimensional maturity modelen
dc.titleIAMM: A maturity model for measuring industrial analytics capabilities in large-scale manufacturing facilitiesen
dc.typeArticle (peer-reviewed)en
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