Case study: the implementation of a data-driven industrial analytics methodology and platform for smart manufacturing
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Published Version
Date
2016
Authors
O'Donovan, Peter
Bruton, Ken
O'Sullivan, Dominic T. J.
Journal Title
Journal ISSN
Volume Title
Publisher
PHM Society
Published Version
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).
Description
Keywords
Industrial analytics methodology , Smart manufacturing
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).