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Book: Statistical Process Control for Real-World Applications

How to explain non-normal applications to suppliers and customers

CRC Press
Tue, 01/11/2011 - 11:22
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(CRC Press: Boca Raton, FL) -- Traditional statistical process control assumes that manufacturing process data come from a normal bell-curve distribution. Numerous supplier reports and in-house control charts are essentially meaningless, because their creators do not know how to check the normality assumption or what to do if they recognize a non-normal application. Statistical Process Control for Real-World Applications by William A. Levinson (CRC Press, 2010) shows how to handle uncooperative, real-world processes that do not follow textbook assumptions.

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The normal or bell curve distribution is far more common in statistics textbooks than it is in real factories, where processes follow non-normal and often highly skewed distributions. Statistical Process Control for Real-World Applications shows how to handle non-normal applications scientifically and explain the methodology to suppliers and customers.

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