Scheduling of reentrant manufacturing lines using a model predictive control (MPC) approach

Felipe D. Vargas-Villamil, Daniel Rivera

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

9 Scopus citations

Abstract

This paper proposes a formulation for optimizing long-term production and machine allocation for semiconductor fabrication facilities. Specifically, the concept of Model Predictive Control (MPC) is extended to the scheduling of reentrant manufacturing lines commonly seen in semiconductor manufacturing problems. A state space formulation of MPC is used to obtain this `combined' long-term scheduler and controller system. An l 1-norm finite moving horizon cost function is used to obtain a control law which is implemented as a linear programming problem (LP).

Original languageEnglish (US)
Title of host publicationProceedings of the American Control Conference
PublisherIEEE
Pages1919-1923
Number of pages5
Volume3
StatePublished - 1997
EventProceedings of the 1997 American Control Conference. Part 3 (of 6) - Albuquerque, NM, USA
Duration: Jun 4 1997Jun 6 1997

Other

OtherProceedings of the 1997 American Control Conference. Part 3 (of 6)
CityAlbuquerque, NM, USA
Period6/4/976/6/97

ASJC Scopus subject areas

  • Control and Systems Engineering

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    Vargas-Villamil, F. D., & Rivera, D. (1997). Scheduling of reentrant manufacturing lines using a model predictive control (MPC) approach. In Proceedings of the American Control Conference (Vol. 3, pp. 1919-1923). IEEE.