An application of artificial neural network to maintenance management

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dc.contributor.authorOladokun, V. O.
dc.contributor.authorCharles-Owaba, O. E.
dc.contributor.authorNwaozuru, C. S.
dc.date.accessioned2018-10-10T13:48:33Z
dc.date.available2018-10-10T13:48:33Z
dc.date.issued2006
dc.description.abstractThis study shows the usefulness of Artificial Neural Network (ANN) in maintenance planning and management. An ANN model based on the multi-layer perception having three hidden layers and four processing elements per layer was built to predict the expected downtime resulting from a breakdown or a maintenance activity. The model achieved an accuracy of over 70% in predicting the expected downtime.en_US
dc.identifier.issn1735-5702
dc.identifier.otherJournal of Industrial Engineering International 2(3), pp. 19-26
dc.identifier.otherui_art_oladokun_application_2006
dc.identifier.urihttp://ir.library.ui.edu.ng/handle/123456789/1774
dc.language.isoenen_US
dc.titleAn application of artificial neural network to maintenance managementen_US
dc.typeArticleen_US

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