For undergraduate/graduate-level courses in Quality Control, Statistical Process Control, Quality Improvement and Quality Assurance. Practical and state-of-the-art in approach, this text provides fundamentalyet comprehensivecoverage of quality control concepts. Sufficient theory is presented to ensure that students gain a sound understanding of the basic principles of quality control. The substantial use of probability and statistical techniques is reduced to simple mathematics or is developed in the form of tables and charts.
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TOTAL QUALITY MANAGEMENT
ADDITIONAL SPC TECHNIQUES FOR VARIABLES 241
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acceptance number acceptance sampling analysis ANSI/ASQ AOQL assignable cause audit binomial calculations cell central line chapter check sheet conforming control chart cost of poor count of nonconformities cumulative frequency determine double sampling evaluate EXAMPLE PROBLEM failure rate formula fraction nonconforming frequency distribution frequency histogram function illustrates kurtosis line and control lower control limit measure method non-acceptance nonconforming units normal distribution number nonconforming obtained OC curve occurs operator organization Pareto analysis Pareto diagram percent nonconforming performance personnel plotted points poor quality population Precontrol procedure process capability product or service project team quality characteristic quality control quality improvement reliability requirements revised control sampling inspection shown in Figure single sampling plan specifications statistical statistical process control supplier Table target technique tion trial control limits variables variation Weibull Weibull distribution