Statistical profile monitoring is an area of statistical quality
control that is growing in significance for researchers and
practitioners, specifically because of its range of applicability
across various service and manufacturing settings. Comprised of
contributions from renowned academicians and practitioners in the
field, Statistical Analysis of Profile Monitoring presents the
latest state-of-the-art research on the use of control charts to
monitor process and product quality profiles. The book presents
comprehensive coverage of profile monitoring definitions, techniques,
models, and application examples, particularly in various areas of
engineering and statistics.
The book begins with an introduction to the concept of profile
monitoring and its applications in practice. Subsequent chapters
explore the fundamental concepts, methods, and issues related to
statistical profile monitoring, with topics of coverage including:
- Simple and multiple linear profiles
- Binary response profiles
- Parametric and nonparametric nonlinear profiles
- Multivariate linear profiles monitoring
- Statistical process control for geometric specifications
- Correlation and autocorrelation in profiles
- Nonparametric profile monitoring
Throughout the book, more than two dozen real-world case studies
highlight the discussed topics along with innovative examples and
applications of profile monitoring. Statistical Analysis of Profile
Monitoring is an excellent book for courses on statistical quality
control at the graduate level. It also serves as a valuable reference
for quality engineers, researchers and anyone who works in monitoring
and improving statistical processes.
RASSOUL NOOROSSANA, PhD
, is Professor of Industrial Engineering at Iran University of Science
and Technology. A Certified Six Sigma Black Belt, he has published
extensively in the areas of statistical quality control, engineering
statistics, total quality management, and Six Sigma.
ABBAS SAGHAEI, PhD, is Associate Professor of Industrial
Engineering at Islamic Azad University, Iran. He currently focuses his
research in the areas of statistical process control, design of
experiments, and Six Sigma.
AMIRHOSSEIN AMIRI, PhD, is Assistant Professor of Industrial
Engineering at Shahed University, Iran. He has authored numerous
papers in the areas of statistical process control and improvement,
quality management and productivity, and design of experiments.
