An application of artificial neural network to maintenance management

الموضوعات :

V. O. Oladokun ¹ , O. E. Charles-Owaba ² , C. S. Nwaouzru ³

1 - Lecturer, Dep. of Industrial and Production Engineering, University of Ibadan, Ibadan, Nigeria
2 - Associate Professor, Dep. of Industrial and Production Engineering, University of Ibadan, Ibadan, Nigeria
3 - Dep. of Industrial and Production Engineering, University of Ibadan, Ibadan, Nigeria

تاريخ الإرسال : 08 الأحد , ذو القعدة, 1436 تاريخ التأكيد : 08 الأحد , ذو القعدة, 1436 تاريخ الإصدار : 08 الجمعة , شعبان, 1427

الکلمات المفتاحية: Artificial Neural Network, Maintenance management, Downtime, Multi-Layer Perceptron,

ملخص المقالة :

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.