Statistical Process Control for Quality Improvement: A Training Guide to Learning SPCWith 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 - and maintain them. This book is designed to help readers learn the statistical tools and concepts needed to develop and use quality control effectively. |
Contents
Measures of Location and Variability 14 1100 | 14 |
Additional Types of Control Charts | 79 |
PROCESS CAPABILITY ANALYSIS | 89 |
Copyright | |
7 other sections not shown
Common terms and phrases
ANSWER/DISCUSSION attributes data average range calculations called cause and effect causes of variation cell width center line collect common causes construct control chart cumulative frequency data set decimal point design specifications digits divide effect diagram End of Chapter example fraction nonconforming Frequency 496 graph grouped frequency distribution histogram hole diameters horizontal axis identified inspection lot plot lower control limit machine median meet specifications Midpoint mode monitor natural variation number of cells number of defects number of observations operators overall mean Pareto analysis pattern percent points fall Practice Chart process average process capability process capability index process output production process quality characteristic R-chart Review Quiz sample means scatter diagram set of data shown in Figure special causes square root standard deviation statistical process control Statistical Quality Control suppose tion total number trend True or False UCL CL LCL upper specification variables data X-Bar Chart
References to this book
Microbiology of Fruits and Vegetables Gerald M. Sapers,James R. Gorny,Ahmed E. Yousef No preview available - 2005 |