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An application of artificial neural network to maintenance management | ||
| Journal of Industrial Engineering International | ||
| مقاله 3، دوره 2، شماره 3، آذر 2006، صفحه 19-26 اصل مقاله (108.5 K) | ||
| نویسندگان | ||
| V. O. Oladokun1؛ O. E. Charles-Owaba2؛ C. S. Nwaouzru3 | ||
| 1Lecturer, Dep. of Industrial and Production Engineering, University of Ibadan, Ibadan, Nigeria | ||
| 2Associate Professor, Dep. of Industrial and Production Engineering, University of Ibadan, Ibadan, Nigeria | ||
| 3Dep. of Industrial and Production Engineering, University of Ibadan, Ibadan, Nigeria | ||
| چکیده | ||
| This study shows the usefulness of Artificial Neural Network (ANN) in maintenance planning and man-agement. An ANN model based on the multi-layer perceptron 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. | ||
| کلیدواژهها | ||
| Maintenance management؛ Downtime؛ Artificial Neural Network؛ Multi-Layer Perceptron | ||
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آمار تعداد مشاهده مقاله: 961 تعداد دریافت فایل اصل مقاله: 670 |
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