Statistical Process Control

Provides a comprehensive treatment of the Theory of Contaminated Distribution, which forms the basis for SPCDevelops algorithms for using quality control based on higher dimensional dataDescribes exploratory and graphical techniques for diagnosing the cause of a manufacturing or production problemDemonstrates new graphical techniques that help clarify complex problems encountered at the planning stageOffers optimization techniques useful in the design of experiments, including the simplex algorithm of Nelder and Mead as well as the rotatable designs of Box, Hunter, and DraperIntroduces bootstrapping as a means of test design and evaluation in SPCDemonstrates new Bayesian-Pareto techniques for SPCExplains the Seven Managerial and Planning ToolsDevelops nonparametric tests for SPCExamines testing procedures using numerous practical examples While the common practice of Quality Assurance aims to prevent bad units from being shipped beyond some allowable proportion, statistical process control (SPC) ensures that bad units are not created in the first place. Its philosophy of continuous quality improvement, to a great extent responsible for the success of Japanese manufacturing, is rooted in a paradigm as process-oriented as physics, yet produces a friendly and fulfilling work environment. The first edition of this groundbreaking text showed that the SPC paradigm of W. Edwards Deming was not at all the same as the Quality Control paradigm that has dominated American manufacturing since World War II. Statistical Process Control: The Deming Paradigm and Beyond, Second Edition reveals even more of Deming's philosophy and provides more techniques for use at the managerial level. Explaining that CEOs and service industries need SPC at least as much as production managers, it offers precise methods and guidelines for their use.Using the practical experience of the authors working both in America and Europe, this book shows how SPC can be implemented in a variety of settings, from health care to manufacturing. It also provides you with the necessary technical background through mathematical and statistical appendices. According to the authors, companies with managers who have adopted the philosophy of statistical process control tend to survive. Those with managers who do not are likely to fail. In which group will your company be?