An application of artificial neural network to maintenance management

Please use this identifier to cite or link to this item: http://ir.library.ui.edu.ng/handle/123456789/1774

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DC Field	Value	Language
dc.contributor.author	Oladokun, V. O.	-
dc.contributor.author	Charles-Owaba, O. E.	-
dc.contributor.author	Nwaozuru, C. S.	-
dc.date.accessioned	2018-10-10T13:48:33Z	-
dc.date.available	2018-10-10T13:48:33Z	-
dc.date.issued	2006	-
dc.identifier.issn	1735-5702	-
dc.identifier.other	Journal of Industrial Engineering International 2(3), pp. 19-26	-
dc.identifier.other	ui_art_oladokun_application_2006	-
dc.identifier.uri	http://ir.library.ui.edu.ng/handle/123456789/1774	-
dc.description.abstract	This 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.language.iso	en	en_US
dc.title	An application of artificial neural network to maintenance management	en_US
dc.type	Article	en_US
Appears in Collections:	scholarly works

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