Efficiently, tracking information related to components, materials and equipment from the production/construction phase to operation and maintenance is a challenge in the industries. The industry environment is a natural fit for generating and utilizing instance-level data for decision support. Advanced electronic identification and data storage technologies e.g. radio frequency identification ...

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.

This paper analyzes an existing maintenance management system in a cement factory in the Kingdom of Saudi Arabia using a modified questionnaire. The analysis shows that there are strong areas such as predictive maintenance and maintenance automation. Other areas are found weak such as training programs and maintenance reporting. Some areas are found mix between strong and weak such as maintenan...