Adaptive model predictive control for production optimization and inventory control of semiconductor reentrant manufacturing lines

Felipe D. Vargas-Villamil, Daniel Rivera

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An adaptive Mode Predictive Controller is applied to the optimization and control of reentrant semiconductor manufacturing lines. It is implemented within a three-layer hierarchical structure. At the top layer the parameters of an aggregated model are obtained on-line while at the intermediate layer production optimization and inventory control are performed using these parameters. The bottom layer consists of a discrete event `follow-up' controller which tracks the targets issued by the optimizer. This controller is applied to a discrete-event semiconductor manufacturing line problem whose specifications were developed by Intel Corp.

Original languageEnglish (US)
Title of host publicationProceedings of the American Control Conference
PublisherIEEE
Pages4087-4091
Number of pages5
Volume6
StatePublished - 1999
EventProceedings of the 1999 American Control Conference (99ACC) - San Diego, CA, USA
Duration: Jun 2 1999Jun 4 1999

Other

OtherProceedings of the 1999 American Control Conference (99ACC)
CitySan Diego, CA, USA
Period6/2/996/4/99

ASJC Scopus subject areas

  • Control and Systems Engineering

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  • Cite this

    Vargas-Villamil, F. D., & Rivera, D. (1999). Adaptive model predictive control for production optimization and inventory control of semiconductor reentrant manufacturing lines. In Proceedings of the American Control Conference (Vol. 6, pp. 4087-4091). IEEE.