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 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.
Borgoni, R., Radaelli, L., Tritto, V., Zappa, D., Optimal reduction of a spatial monitoring grid: Proposals and applications in process control, <<COMPUTATIONAL STATISTICS & DATA ANALYSIS>>, 2013; 58 (Febbraio): 407-419. [doi:10.1016/j.csda.2012.08.007] [http://hdl.handle.net/10807/44604]
Optimal reduction of a spatial monitoring grid: Proposals and applications in process control
Borgoni, Riccardo;Zappa, Diego
2013
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 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.