Paper
13 September 1996 Data-driven method for calculating limits for particle control charts
Diane Michelson
Author Affiliations +
Abstract
In semiconductor manufacturing, a key measure of product quality is the number of particles added during a fab processing step. Usual statistical process control methods assume an underlying normal distribution for the data. Particle measurements typically display skewed, nonnormal distributions, hence traditional control limits are not valid. This paper examines using bootstrap estimates of the upper percentiles of a distribution to find control limits for particle charts.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Diane Michelson "Data-driven method for calculating limits for particle control charts", Proc. SPIE 2876, Process, Equipment, and Materials Control in Integrated Circuit Manufacturing II, (13 September 1996); https://doi.org/10.1117/12.250911
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Cited by 1 scholarly publication.
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KEYWORDS
Particles

Lithium

Statistical analysis

Process control

Quality measurement

Semiconducting wafers

Semiconductor manufacturing

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