This book investigates the mathematical foundations and practical applications of process capability indices (PCIs) in industrial quality control. The authors, Norman L. Johnson and Samuel Kotz, leverage their extensive expertise in statistical theory to provide a rigorous examination of how these indices measure the ability of a manufacturing process to meet specified tolerances. The text establishes a formal framework for evaluating process performance, addressing both the theoretical derivation of various indices and the limitations inherent in their application across different industrial environments.

Experts recognize this work as a foundational reference for statisticians and quality engineers involved in industrial process monitoring. Readers frequently note the high level of mathematical density, which requires a solid background in statistical inference to fully utilize the provided methodologies.