ABSTRACT

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 custom

chapter 1|56 pages

Traditional Control Charts

chapter 2|66 pages

Nonnormal Distributions

chapter 3|22 pages

Range Charts for Nonnormal Distributions

chapter 4|6 pages

Nested Normal Distributions

chapter 5|30 pages

Process Performance Indices

chapter 6|16 pages

The Effect of Gage Capability

chapter 7|26 pages

Multivariate Systems