Frontiers in Statistical Quality Control 14

mso-ansi-language: EN-US;">This book examines major areas of statistical quality control, with a focus on sharing insights into important new developments in the field and adapting established statistical quality control methods for use in various fields of application, including business, finance, environmental science, engineering and health. This book examines major areas of statistical quality control, with a focus on sharing insights into important new developments in the field and adapting established statistical quality control methods for use in various fields of application, including business, finance, environmental science, engineering and health. It is divided into two parts, the first addressing statistical process monitoring and the second exploring selected topics in statistical quality control, including the design of experiments and data quality. Compiling peer-reviewed contributions originally presented at the 14th International Workshop on Intelligent Statistical Quality Control, ISQC 2023, held in Washington, DC, USA, on August 15-17, 2023, the book bridges the gap between theory and practice, making it of interest to both researchers and practitioners in the field of statistical quality control. This book examines major areas of statistical quality control, with a focus on sharing insights into important new developments in the field and adapting established statistical quality control methods for use in various fields of application, including business, finance, environmental science, engineering and health. It is divided into two parts, the first addressing statistical process monitoring and the second exploring selected topics in statistical quality control, including the design of experiments and data quality. Compiling peer-reviewed contributions originally presented at the 14th International Workshop on Intelligent Statistical Quality Control, ISQC 2023, held in Washington, DC, USA, on August 15-17, 2023, the book bridges the gap between theory and practice, making it of interest to both researchers and practitioners in the field of statistical quality control.