Artificial Neural Network Machinery Replacement Programme in Oil Industry
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Equipment replacement is one the problems many organizations are facing in the management of their assets. Most times some of these organizations have many equipment and the decision to determine when this equipment should be replaced or maintained becomes very challenging. Traditional methods of equipment replacement can therefore be relied upon. Artificial Neural Network (ANN) has been developed and presented in this research to guide in equipment replacement decision for industries. Five years of cost data was collected using eMaint computerized maintenance management system. for 100 machines. An overall condition of 15 and above served as a replacement point. A test accuracy of 86.67% was recorded using the ANN model. This indicates that the model is a promising for predicting machine tool replacement. The developed artificial neural network (ANN)is considered valuable for predicting machine replacement.
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