The trusted guide to the statistical methods for quality control. Quality control and improvement is more than an engineering concern. Quality has become a major business strategy for increasing productivity and gaining competitive advantage. Introduction to Statistical Quality Control, Sixth Edition gives you a sound understanding of the principles of statistical quality control (SQC) and how to apply them in a variety of situations for quality control and improvement. With this text, you'll learn how to apply state-of-the-art techniques for statistical process monitoring and control, design experiments for process characterization and optimization, conduct process robustness studies, and implement quality management techniques. You'll appreciate the significant updates in the Sixth Edition including: * In-depth attention to DMAIC, the problem-solving strategy of Six Sigma. It will give you an excellent framework to use in conducting quality improvement projects. * New examples that illustrate applications of statistical quality improvement techniques in non-manufacturing settings. Many examples and exercises are based on real data. * New developments in the area of measurement systems analysis * New features of Minitab V15 incorporated into the text * Numerous new examples, exercises, problems, and techniques to enhance your absorption of the material
Adopting a balanced approach to traditional and modern methods, this text includes coverage of SQC techniques in both industrial and non-manufacturing settings, providing fundamental knowledge to students of engineering, statistics, ...
Revised and expanded, this Second Edition continues to explore the modern practice of statistical quality control, providing comprehensive coverage of the subject from basic principles to state-of-the-art concepts and applications....
This book is about the use of modern statistical methods for quality control and improvement.
Along with covering traditional methods, Introduction to Statistical Process Control describes many recent SPC methods that improve upon
Key JMP platforms include: Control Chart Builder CUSUM Control Chart Control Chart (XBar, IR, P, NP, C, U, UWMA, EWMA, CUSUM) Process Screening Process Capability Measurement System Analysis Time Series Multivariate Control Chart ...
This Edition continues to explore the modern practice of statistical quality control, providing comprehensive coverage of the subject from basic principles to state-of-the-art concepts and applications.
This book helps readers develop a better understanding of the history, implementation, and use-cases.
Market_Desc: Engineers.Special Features: · Includes a new chapter on the DMAIC project implementation process that describes the major tools needed· Presents new developments in the area of measurement systems analysis·...
This book provides an accessible presentation of concepts from probability theory, statistical methods, the design of experiments and statistical quality control.
Adopting a balanced approach to traditional and modern methods, this text includes coverage of SQC techniques in both industrial and non-manufacturing settings, providing fundamental knowledge to students of engineering, statistics, ...