<p><b>The newest edition of an insightful and practical statistical approach to quality control and management</b></p> <p>In the newly revised and thoroughly updated Fifth Edition of <i>Fundamentals of Quality Control and Improvement,</i> accomplished academic, consultant, and author Dr. Amitava Mitra delivers a comprehensive and quantitative approach to quality management techniques. The book demonstrates how to integrate statistical concepts with quality assurance methods, incorporating modern ideas, strategies, and philosophies of quality management.</p> <p>You’ll discover experimental design concepts and the use of the Taguchi method to incorporate customer needs, improve lead time, and reduce costs. The new edition also includes brand-new case studies at the end of several chapters, references to the statistical software Minitab 19, and chapter updates that add discussions of trending and exciting topics in quality control.</p> <p>The book includes access to supplementary material for instructors consisting of a new instructor’s solutions manual and PowerPoint slides, as well as access to data sets for all readers.</p> <p>Readers will also benefit from the inclusion of:</p> <ul> <li>A thorough introduction to the evolution of quality and definitions of quality, quality control, quality assurance, quality circles, and quality improvement teams</li> <li>An exploration of customer needs and market share, as well as the benefits of quality control and the total quality system</li> <li>Practical discussions of quality and reliability, quality improvement, product and service costing, and quality costs</li> <li>A concise treatment of how to measure quality costs, the management of quality, and the interrelationship between quality and productivity</li> </ul> <p>Perfect for upper-level undergraduate and graduate students in quality control and improvement, the Fifth Edition of <i>Fundamentals of Quality Control and Improvement</i> will also earn a place in the libraries of business students and those undertaking training programs in Six Sigma.</p>
