Modelling and Improving Maintenance Decisions: Having Foresight with Simulation and Artificial Intelligence

2002-01-0471

03/04/2002

Event
SAE 2002 World Congress & Exhibition
Authors Abstract
Content
Machine breakdowns are one of the main sources of disruption and throughput fluctuation in highly automated production facilities. One element in reducing this disruption is ensuring that the maintenance team responds correctly to machine failures. It is, however, difficult to determine the current practice employed by the maintenance team, let alone suggest improvements to it. ‘Knowledge based improvement’ is a methodology that aims to address this issue, by (a) eliciting knowledge on current practice, (b) evaluating that practice and (c) looking for improvements. The methodology, based on visual interactive simulation and artificial intelligence methods, and its application to a Ford engine assembly facility are described.
Meta TagsDetails
DOI
https://doi.org/10.4271/2002-01-0471
Pages
10
Citation
Robinson, S., Alifantis, A., Hurrion, R., Edwards, J. et al., "Modelling and Improving Maintenance Decisions: Having Foresight with Simulation and Artificial Intelligence," SAE Technical Paper 2002-01-0471, 2002, https://doi.org/10.4271/2002-01-0471.
Additional Details
Publisher
Published
Mar 4, 2002
Product Code
2002-01-0471
Content Type
Technical Paper
Language
English