A cross-sector analysis of human and organisational factors in the deployment of data-driven predictive maintenance

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A cross-sector analysis of human and organisational factors in the deployment of data-driven predictive maintenance

Domains such as utilities, power generation, manufacturing and transport are increasingly turning to data-driven tools for management and maintenance of key assets. Whole ecosystems of sensors and analytical tools can provide complex, predictive views of network asset performance. Much research in t...

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Bibliographic Details
Main Authors:	Golightly, David, Kefalidou, Genovefa, Sharples, Sarah
Format:	Article
Published:	Springer 2017
Subjects:	Asset management Organisational change Human factors Decision making
Online Access:	https://eprints.nottingham.ac.uk/43061/

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