Original PDF Ebook – Fundamentals of Quality Control and Improvement4th Edition – 9781118705148

Original PDF Ebook – Fundamentals of Quality Control and Improvement4th Edition – 9781118705148

A statistical approach to the principles of quality control and management_x000D_
Incorporating modern ideas, methods, and philosophies of quality management, Fundamentals of Quality Control and Improvement, Fourth Edition 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. _x000D_
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 Fourth Edition of Fundamentals of Quality Control and Improvement also includes:_x000D_
New topical coverage on risk-adjustment, capability indices, model building using regression, and survival analysis _x000D_
Updated examples and exercises that enhance the readers’ understanding of the concepts_x000D_
Discussions on the integration of statistical concepts to decision making in the realm of quality assurance _x000D_
Additional concepts, tools, techniques, and issues in the field of health care and health care quality _x000D_
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_x000D_
Fundamentals of Quality Control and Improvement, Fourth Edition 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.