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Modelling and Improving Maintenance Decisions: Having Foresight with Simulation and Artificial Intelligence University of Warwick, United Kingdom

SAE Technical Papers (1906-current) Available online

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Format:
Conference/Event
Author/Creator:
Robinson, S., author.
Conference Name:
SAE 2002 World Congress & Exhibition (2002-03-04 : Detroit, Michigan, United States)
Language:
English
Physical Description:
1 online resource
Place of Publication:
Warrendale, PA SAE International 2002
Summary:
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
Notes:
Vendor supplied data
Publisher Number:
2002-01-0471
Access Restriction:
Restricted for use by site license

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