Understanding a semiconductor process using a full-scale model

Jerald Hunter, Deana Delp, Donald Collins, Jennie Si

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


A full-scale semiconductor manufacturing plant model was developed from a SEMATECH dataset using the computer software package EXTEND, The model was generated to study the complex interactions and characteristics of a semiconductor fabrication process. Equipment downtimes, process flow routes, and machine processing times were used to validate the model. Pilot runs of the model were used to determine simulation run times and data collection rates for the initial inventory and product cycle time measurements. The product cycle time results from the model at 95% capacity were within 63 hours (or 7%) of the SEMATECH cycle time measurements. These results demonstrate the accuracy of the simulation model built from the SEMATECH dataset. The full-scale model was set up to run special scenarios showing the effects of eliminating maintenance and changing product types. The full-scale model was compared to a small-scale model based on the same dataset to demonstrate the inadequacy of the validated small-scale model. A full-scale model is also useful for analyzing scheduling routines, detecting bottlenecks, and understanding machine relations in the semiconductor industry.

Original languageEnglish (US)
Pages (from-to)285-289
Number of pages5
JournalIEEE Transactions on Semiconductor Manufacturing
Issue number2
StatePublished - May 2002


  • Computer simulations
  • Factory management
  • Modeling
  • Scheduling
  • Semiconductor manufacturing

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering


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