Fundamentals of Quality Control and Improvement by Amitava Mitra offers a comprehensive exploration of the principles of quality control and management through a statistical lens. This Fourth Edition, published by Wiley in April 2016, incorporates modern ideas, methods, and philosophies to bridge the gap between statistical quality control and broader quality management practices.

Highlighting experimental design concepts and emphasizing the Taguchi method for product/process design, the book delves into creating designs that effectively meet customer needs, reduce costs, and enhance lead times. New topics such as risk-adjustment, capability indices, model building using regression, and survival analysis are included to provide up-to-date insights.

Readers will find updated examples and exercises that further illuminate key concepts, along with discussions on integrating statistical principles into decision-making processes within quality assurance. This edition remains a valuable resource for students, practitioners, and professionals in the field of quality management seeking to enhance their understanding and application of statistical methods.