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Optimal reduction of a spatial monitoring grid: Proposals and applications in process control

  • Riccardo Borgoni*
  • , Luigi Radaelli
  • , Valeria Tritto
  • , Diego Zappa
  • *Corresponding author
  • University of Milan - Bicocca
  • SPC and Robustness Group

Research output: Contribution to journalArticlepeer-review

Abstract

Deposition of silicon dioxide (SiO2) is a critical step of integrated circuit manufacturing; hence it is monitored during the manufacturing process at a grid of points defined on the\r\nwafer area. Since collecting thickness measurements is expensive, it is a compelling issue to investigate how a sub grid can be identified. A strategy based on spatial prediction and\r\nsimulating annealing is proposed to tackle the problem which proved to be effective when applied to a real process. A diagnostic device for monitoring the deposition process is also discussed which can be usefully adopted in the day-to-day activity by practitioners acting in process control of a microelectronics fab.
Original languageEnglish
Pages (from-to)407-419
Number of pages13
JournalComputational Statistics and Data Analysis
Volume58
Issue numberFebbraio
DOIs
Publication statusPublished - 2013

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Computational Mathematics
  • Computational Theory and Mathematics
  • Applied Mathematics

Keywords

  • Kriging
  • Simulated annealing
  • Spatial sampling
  • Statistics for microelectronics

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