Statistical Methods for SPC and TQM

Statistical Methods for SPC and TQM sets out to fill the gap for those in statistical process control (SPC) and total quality management (TQM) who need a practical guide to the logical basis of data presentation, control charting, and capability indices.Statistical theory is introduced in a practical context, usually by way of numerical examples. Several methods familiar to statisticians have been simplified to make them more accessible. Suitable tabulations of these functions are included; in several cases, effective and simple approximations are offered.ContentsData Collection and Graphical SummariesNumerical Data Summaries-Location and DispersionProbability and DistributionSampling, Estimation, and ConfidenceSample Tests of Hypothesis; "Significance Tests"Control Charts for Process Management and ImprovementControl Charts for Average and VariationControl Charts for "Single-Valued" ObservationsControl Charts for Attributes and EventsControl Charts: Problems and Special CasesCusum MethodsProcess Capability-Attributes, Events, and Normally Distributed DataCapability; Non-Normal DistributionsEvaluating the Precision of a Measurement System (Gauge Capability)Getting More from Control Chart DataSPC in "Non-Product" ApplicationsAppendices