Statistical Methods for SPC and TQM

D Bissell

ISBN 10: 0412394405 / ISBN 13: 9780412394409

Editore: Springer Netherlands, 1994

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Neuware - 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.

Codice articolo 9780412394409

Dati bibliografici

• Titolo: Statistical Methods for SPC and TQM
• Editore: Springer Netherlands
• Data di pubblicazione: 1994
• Lingua: Inglese
• ISBN 10: 0412394405
• ISBN 13: 9780412394409
• Rilegatura: Buch
• Condizione: Neu

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Riassunto

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. Contents Data Collection and Graphical Summaries Numerical Data Summaries-Location and Dispersion Probability and Distribution Sampling, Estimation, and Confidence Sample Tests of Hypothesis; "Significance Tests" Control Charts for Process Management and Improvement Control Charts for Average and Variation Control Charts for "Single-Valued" Observations Control Charts for Attributes and Events Control Charts: Problems and Special Cases Cusum Methods Process Capability-Attributes, Events, and Normally Distributed Data Capability; Non-Normal Distributions Evaluating the Precision of a Measurement System (Gauge Capability) Getting More from Control Chart Data SPC in "Non-Product" Applications Appendices

Informazioni sull?autore

D Bissell