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Fundamentals of Quality Control and Improvement
Amitava Mitra (Author)
9781119692331, Wiley
Hardback, published 29 June 2021
800 pages
1 x 1 x 1 cm, 0.454 kg
The newest edition of an insightful and practical statistical approach to quality control and management In the newly revised and thoroughly updated Fifth Edition of Fundamentals of Quality Control and Improvement, 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. 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. 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. Readers will also benefit from the inclusion of: Perfect for upper-level undergraduate and graduate students in quality control and improvement, the Fifth Edition of Fundamentals of Quality Control and Improvement will also earn a place in the libraries of business students and those undertaking training programs in Six Sigma.
Preface xix About the Companion Website xxiii Part I Philosophy and Fundamentals 1 1 Introduction to Quality Control and the Total Quality System 3 2 Some Philosophies and Their Impact on Quality 47 3 Quality Management: Practices, Tools, and Standards 89 Part II Statistical Foundations and Methods of Quality Improvement 151 4 Fundamentals of Statistical Concepts and Techniques in Quality Control and Improvement 153 5 Data Analyses and Sampling 233 Part III Statistical Process Control 285 6 Statistical Process Control Using Control Charts 287 7 Control Charts for Variables 311 8 Control Charts for Attributes 405 9 Process Capability Analysis 471 Part IV Product and Process Design 527 10 Reliability 529 11 Experimental Design and the Taguchi Method 569 12 Process Modeling Through Regression Analysis 675 Appendixes 733 Index 755
Subject Areas: Mathematics [PB]
