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.

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