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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 mai...
| Format: | Article |
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| Published: |
2006
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| LEADER | 00000njm a2000000a 4500 | ||
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| 001 | oai:repository.ui.edu.ng:123456789/1774 | ||
| 042 | |a dc | ||
| 720 | |a Oladokun, V. O. |e author | ||
| 720 | |a Charles-Owaba, O. E. |e author | ||
| 720 | |a Nwaozuru, C. S. |e author | ||
| 260 | |c 2006 | ||
| 520 | |a 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. | ||
| 024 | 8 | |a 1735-5702 | |
| 024 | 8 | |a Journal of Industrial Engineering International 2(3), pp. 19-26 | |
| 024 | 8 | |a ui_art_oladokun_application_2006 | |
| 024 | 8 | |a http://ir.library.ui.edu.ng/handle/123456789/1774 | |
| 245 | 0 | 0 | |a An application of artificial neural network to maintenance management |