Principles of quality control
An introduction to the quality function in modern manufacturing and service organizations. Provides background statistical information, and each new topic is illustrated by one or more examples. Discusses the means of achieving and managing quality control--statistical tools, specifications and tolerances, sampling, and computer applications. Also includes a chapter on the history of quality control. Contains figures, tables, and end-of-chapter problems.
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HISTORY AND EVOLUTION OF QUALITY CONTROL
MANAGEMENT OF QUALITY
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acceptance number acceptance sampling ANSI/ASQC AOQL approximately barplot binomial distribution code letter components computed confidence interval Consider control chart control limits cost Cusum chart defects determined developed double-sampling plan engineering estimate EXAMPLE exponential exponentially distributed failure rate function GOSUB GOTO histogram hypothesis inspection level Ishikawa diagram lot is accepted lot percent nonconforming manufacturing nomogram noncon nonconforming units normal inspection normally distributed number of nonconforming observations obtained OC curve operator parameters points Poisson distribution PRINT probability of acceptance problem procedure process average quality characteristic random sample random variable rejection number reliability result sample number sample size code sampling inspection second sample selected sequential-sampling plan Shewhart shift shown in Figure single-sampling plan specification limits standard deviation statistical quality control tightened inspection tion tolerance limits two-sided type II error variables sampling plan variance Weibull distribution