Publisher's Synopsis
The modern practice of statistical quality control is explored in this text which provides comprehensive coverage of the subject from basic principles to state-of-the-art concepts and applications. The objective is to give the reader a thorough grounding in the principles of statistical quality control and a basis for applying those principles in a wide variety of both product and nonproduct situations. Divided into four parts, this revised and expanded edition incorporates numerous changes, including a more detailed discussion of the basic SPC problem- solving tools and two new case studies, expanded treatment on variable control charts with new examples, a chapter devoted entirely to cumulative-sum control charts and exponentially- weighted, moving-average control charts, and a new section on process improvement with designed experiments.
