Statistical Process Control for Real-World Applications

Picking up where the textbooks usually leave off, this book equips readers to deal with non-normal applications scientifically and to explain the methodology to suppliers and customers. It shows how to handle uncooperative real-world processes that do not follow textbook assumptions. The text explains how to set realistic control limits and calculate meaningful process capability indices for non-normal applications. Highlighting the pitfalls of assuming normality for all processes, the book addresses multivariate systems, nested variation sources, as well as lognormal, gamma, and Weibull distributions.