A hierarchical approach to production control of reentrant semiconductor manufacturing lines

Felipe D. Vargas-Villamil, Daniel Rivera, Karl G. Kempf

Research output: Contribution to journalArticlepeer-review

25 Scopus citations


A three-layer hierarchical approach for inventory control and production optimization of semiconductor reentrant manufacturing lines is developed. At the top layer, the parameters of an aggregated model are obtained on-line while, at the intermediate layer, production optimization and inventory control via model predictive control are performed. The aim of these two layers is aggregated (or averaged) supervisory control. The bottom layer consists of a distributed control policy which issues discrete-event decisions to track the aggregated targets issued by the optimizer. This layer accomplishes shop-floor control. The algorithm is applied to a discrete-event manufacturing line problem developed by Intel Corporation, which captures the main challenges posed by reentrant manufacturing lines.

Original languageEnglish (US)
Pages (from-to)578-587
Number of pages10
JournalIEEE Transactions on Control Systems Technology
Issue number4
StatePublished - Jul 2003


  • Discrete-event system
  • Hierarchical structure
  • Model predictive control (MPC)
  • Reentrant manufacturing line
  • Scheduling
  • Semiconductor fabrication

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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