Modelling and improving maintenance decisions:Having foresight with simulation and artificial intelligence

Robinson, S., Alifantis, A., Hurrion, R.D., Edwards, J.S., Ladbrook, J. and Waller, T. (2002). Modelling and improving maintenance decisions:Having foresight with simulation and artificial intelligence. IN: Foresight vehicle technology. Sporton, Mike (ed.) SAE technical papers . Warrendale: SAE.


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. Copyright © 2002 Society of Automotive Engineers, Inc.

Publication DOI:
Divisions: Aston Business School > Operations & information management
Event Title: SAE 2002 World Congress & Exhibition
Event Type: Other
Event Dates: 2002-03-04 - 2002-03-07
Uncontrolled Keywords: foresight vehicle technology,consumer driven design,maintenance,spark ignition gasoline engines,materials,assembling,aftermarket ,manufacturing processes,Automotive Engineering,Safety, Risk, Reliability and Quality,Pollution,Industrial and Manufacturing Engineering
Full Text Link: http://papers.s ... g/2002-01-0471/
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
Published Date: 2002-04-04
Authors: Robinson, S.
Alifantis, A.
Hurrion, R.D.
Edwards, J.S. ( 0000-0003-3979-017X)
Ladbrook, J.
Waller, T.

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