This “mathematics-friendly” volume introduces readers to basic concepts and applications of Statistical Process Control (SPC). Readers get a solid foundation in control charts—including setting scales, charting, interpreting, and analyzing process capability. Problem-solving techniques are emphasized, and all learning is linked to the implementation of SPC in the workplace. The volume offers an introduction to quality concepts and statistical process control, quality issues, variation and statistics, an introduction to tables, charts, and graphs, probability and the normal distribution, control charts, variables charts for limited data, attributes control charts, problem solving, gauge capability and acceptance sampling. For quality control trainers and quality management/improvement teams.
This book is designed to help readers learn the statistical tools and concepts needed to develop and use quality control effectively.
Statistical Process Control Quality
This ground-breaking book addresses the critical, growing need among health care administrators and practitioners to measure the effectiveness of quality improvement efforts.
Table 11.7 Reactor Mooney off-spec results over 14 production dates: Pareto analysis of reasons Tally Reasons for Mooney off-spec Frequency Percentage of total Cumulative percentage ...
Along with covering traditional methods, Introduction to Statistical Process Control describes many recent SPC methods that improve upon
This ground-breaking book addresses the critical, growing need among health care administrators and practitioners to measure the effectiveness of quality improvement efforts.
Nonparametric Function Estimation, Modeling and Simulation. Philadelphia: Society for Industrial and Applied Mathematics. Problems. Remark: In Problems 6.1-6.3, extrema of functions of one variable are to be found.
With today's growing emphasis on quality improvement, training individuals in fundamental quality control skills is a major challenge. Professionals in manufacturing industries need to bring processes into statistical control...
They either address the wrong problems, or they keep beating on the same solutions, wondering why things don't improve. This is when you need an objective way to look at the problems. This is the time to get some data.
SPC METHODS FOR QUALITY IMPROVEMENT A comprehensive, applications-oriented guide to classical and cutting-edge SPC tools and techniques Written by a leading innovator in the field, SPC Methods for Quality Improvement...