DDDAS-based multi-fidelity simulation for online preventive maintenance scheduling in semiconductor supply chain

Debora Couto Anjos, David Cohens, Carrie Hansen, Nurcin Koyuncu, Seung Ho Lee, Ameya Shendarkar, Karthik Krishna Vasudevan, Young Jun Son

Research output: Contribution to conferencePaper

Abstract

This research intends to augment the validity of simulation models in the most economic way via incorporating dynamic data into the executing model, which then steers the measurement process for selective data update. To this end, we developed four algorithms that are embedded into the simulations, including 1) data filtering algorithm utilizing control charts, 2) preliminary fidelity selection algorithm using the Bayesian belief network, 3) fidelity assignment algorithm considering the currently available computational resources and integer programming, and 4) real-time scheduling algorithm using multi-linear regression. A prototype system was successfully developed for preventive maintenance scheduling for a semiconductor supply chain.

Original languageEnglish (US)
Pages110-115
Number of pages6
StatePublished - Dec 1 2007
EventIIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World - Nashville, TN, United States
Duration: May 19 2007May 23 2007

Other

OtherIIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World
CountryUnited States
CityNashville, TN
Period5/19/075/23/07

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Keywords

  • Grid computing
  • Maintenance scheduling
  • Multi-fidelity simulation
  • Supply chain
  • Web services

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

Cite this

Anjos, D. C., Cohens, D., Hansen, C., Koyuncu, N., Lee, S. H., Shendarkar, A., Vasudevan, K. K., & Son, Y. J. (2007). DDDAS-based multi-fidelity simulation for online preventive maintenance scheduling in semiconductor supply chain. 110-115. Paper presented at IIE Annual Conference and Expo 2007 - Industrial Engineering's Critical Role in a Flat World, Nashville, TN, United States.