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

  • Authors:
  • Riccardo Borgoni;Luigi Radaelli;Valeria Tritto;Diego Zappa

  • Affiliations:
  • Department of Statistics, University of Milano-Bicocca, Italy;SPC & Robustness Group, Numonyx, Italy;Department of Statistics, University of Milano-Bicocca, Italy;Department of Statistical Sciences, Universití Cattolica del Sacro Cuore, Milan, Italy

  • Venue:
  • Computational Statistics & Data Analysis
  • Year:
  • 2013

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Abstract

Deposition of silicon dioxide (SiO"2) is a critical step of integrated circuit manufacturing; hence it is monitored during the manufacturing process at a grid of points defined on the wafer 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 simulating 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.