Fundamentals of industrial quality control
"Quality" is the latest buzz word in business & industry-quality control, quality assurance, quality improvement, & quality systems. But what does quality mean to you? Fundamentals of Industrial Quality Control, Third Edition shows how the concept of "quality" can be validated with basic statistical methods.
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Introduction to Quality Control
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95 percent confidence Ac Re Ac Acceptable Quality Levels acceptance sampling accepting a lot accepting material accepting the lot Aft-Tech AOQL arithmetic mean assignable variation binomial distribution calculated components components in parallel confidence interval control chart constant control limits defective material descriptive statistics double-sample sampling plan Example failure rate favorable events fewer defects frequency frequency histogram function individual values inspector limits for averages LTPD machine manufacturer measured normal inspection null hypothesis number of defects OC curve percent defective performed Poisson distribution population PRINT probability distribution probability of accepting probability of finding problem procedure process capability quality assurance random variation rectifying inspection rejected risk sample averages sample data sample number sample standard deviation sampling inspection second sample selected at random Shewhart shown in Figure shows single-sample sampling plan Solution specs statistical quality control table value test statistic tion upper specification variability vendor wire