A Quick Course in Statistical Process Control
Utilizing a practical "how-to" approach, this book shows readers how to apply the principles of SPC to the making of business decisions and better quality products. It integrates examples that use Microsoft Excel functions and Minitab. Chapter topics include statistical preliminaries for control charts, charting sample means and variation, signals and measures used in assessing control and quality, other control charts, probability, and topics in quality. For use in Six Sigma and Certified Quality Improvement Associate training programs.
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appear assignable cause batches binomial distribution cause-and-effect diagram center line chemical choose click OK column common cause variation component computed concentration control chart control limits CUSUM chart denote estimate event EWMA chart example failure rate fall Figure Answers grams graph histogram historical mean identify individuals chart line and 3-sigma mean and standard measure meet specs minimum tension MINITAB moving ranges murders nonconforming items normal distribution number of items number of nonconforming obtain occur ohms options out-of-control signal Pareto chart points Poisson distribution pooled standard deviation probability distribution probability limit problem process mean process standard deviation reliability sample means Sample Number sample standard deviation sample values shift shipment shown in Figure shows Six Sigma spool weights statistical Subgroup Suppose Table target value thread tosses variable window labeled X-chart z-scores zone chart