Analysis for the Knowledge Management Application in Maintenance Engineering: Perception from Maintenance Technicians

Engineering Experience Base Maintenance Knowledge

The value of a corporate information system such as an experience base tends to degrade with time. To keep the value of such a system, maintenance is an essential. Maintenance should not simply happen ad-hoc but systematically and based on specific maintenance knowledge. As a jump-start for maintenance, maintenance knowledge should be available right from the start of continuous operation. This...

Ontology for knowledge management in software maintenance

The concept of ontologies has been widely reported in the literature, and has been described various ontological designs, but few works try to explain in practical terms how to design an ontology. On the other side, although it is widely accepted the importance of maintenance of software products, few ontological designs focus on applying techniques to manage knowledge to get it. This paper ana...

An application of artificial neural network to maintenance management

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.

Supporting the Dispatching Process for Maintenance Technicians in Industry 4.0

A Knowledge Management Framework for Remote Maintenance

Plant maintenance is a critical role in the success of manufacturing enterprises. The concept of remote maintenance (or e-maintenance) n the industry refers to the integration of the information and communication technologies to service for plant maintenance remotely. Remote maintenance is characteristic of knowledge intensive and collaborative. To improve the efficiency of knowledge management...