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Extreme Quantile Determination for Manufacturing Process Parameters

Christopher Breen
Eli Lilly and Company
Room 306, Statistics Building 1130

Monitoring the control and capability of process parameters is a continual and mammoth task for today’s manufacturers. The importance of simple, efficient, and automated approaches cannot be overstated. Paramount in this endeavor is the determination of extreme quantiles. I will review approaches for determining these quantile from the last 25 years of literature, as well as current usage at Eli Lilly and Company. A number of candidate approaches will be carried forward into a simulation to look at their performance against a variety of distributions.

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