Book description
This book is an introductory book on improving the quality of a process
or a system, primarily through the technique of statistical process
control (SPC). There are numerous technical manuals available for SPC,
but this book differs in two ways: (1) the basic tools of SPC are
introduced in a no-nonsense, simple, non-math manner, and (2) the
methods can be learned and practiced in an uncomplicated fashion using
free software (eZ SPC 2. 0), which is available to all readers online as
a downloadable product. The book explains QC7 Tools, control charts, and
statistical analysis including basic design of experiments. Theoretical
explanations of the analytical methods are avoided; instead, results are
interpreted through the use of the software.
Chang W. Kang, PhD
, is Professor in the Department of Industrial and Management
Engineering at Hanyang University (South Korea). He has published
extensively in the areas of engineering statistics, statistical quality
control, and quality management. Former president of the Korea Society
of Industrial and Systems Engineering, Dr. Kang is the recipient of both
the President's Award (2004) and the Medal of Service Merits (2007) by
the Korean government.
Paul H. Kvam, PhD, is Professor of Industrial and Systems
Engineering at the Georgia Institute of Technology. He has published
numerous papers in the areas of statistical reliability with
applications to engineering, nonparametric estimation, and analysis of
complex and dependent systems. He is a Fellow of the American
Statistical Association and the coauthor of Nonparametric
Statistics for Science and Engineering (Wiley).
