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

S. Robinson, A. Alifantis, R.D. Hurrion, J.S. Edwards, J. Ladbrook, T. Waller

Research output: Chapter in Book/Published conference outputConference publication

Abstract

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.

Original languageEnglish
Title of host publicationForesight vehicle technology
Subtitle of host publicationconsumer driven design, manufacturing, supply chain, and purchasing
EditorsMike Sporton
Place of PublicationWarrendale
PublisherSAE
Pages201-207
Number of pages7
ISBN (Print)978-0-7680-0962-0, 0-7680-0962-6
DOIs
Publication statusPublished - 4 Apr 2002
EventSAE 2002 World Congress & Exhibition - Prague, Czech Republic
Duration: 4 Mar 20027 Mar 2002

Publication series

NameSAE technical papers
PublisherSAE
Number2002-01-0471

Congress

CongressSAE 2002 World Congress & Exhibition
CountryCzech Republic
CityPrague
Period4/03/027/03/02

Keywords

  • foresight vehicle technology
  • consumer driven design
  • maintenance
  • spark ignition gasoline engines
  • materials
  • assembling
  • aftermarket
  • manufacturing processes

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