Fundamentals of Quality Control and Improvement

<p><b>A statistical approach to the principles of quality control and management</b></p> <p>Incorporating modern ideas, methods, and philosophies of quality management, <i>Fundamentals of Quality Control and Improvement, Fourth Edition</i> presents a quantitative approach to management-oriented techniques and enforces the integration of statistical concepts into quality assurance methods. Utilizing a sound theoretical foundation and illustrating procedural techniques through real-world examples, the timely new edition bridges the gap between statistical quality control and quality management. </p> <p>Promoting a unique approach, the book focuses on the use of experimental design concepts as well as the Taguchi method for creating product/process designs that successfully incorporate customer needs, improve lead time, and reduce costs. The <i>Fourth Edition</i> of <i>Fundamentals of Quality Control and Improvement</i> also includes:</p> <ul> <li>New topical coverage on risk-adjustment, capability indices, model building using regression, and survival analysis </li> <li>Updated examples and exercises that enhance the readers’ understanding of the concepts</li> <li>Discussions on the integration of statistical concepts to decision making in the realm of quality assurance </li> <li>Additional concepts, tools, techniques, and issues in the field of health care and health care quality </li> <li>A unique display and analysis of customer satisfaction data through surveys with strategic implications on decision making, based on the degree of satisfaction and the degree of importance of survey items</li> </ul> <p><i>Fundamentals of Quality Control and Improvement, Fourth Edition</i> is an ideal book for undergraduate and graduate-level courses in management, technology, and engineering. The book also serves as a valuable reference for practitioners and professionals interested in expanding their knowledge of statistical quality control, quality assurance, product/process design, total quality management, and/or Six Sigma training in quality improvement.</p>