Statistical quality control: strategies and tools for continual improvement
This text provides the reader with a general and widely-applicable problem solving strategy for use in quality improvement. It covers a variety of statistical and "non-statistical" problem-solving tools, and discusses techniques that are useful when problems are solved by groups or teams of people. It also shows how the success of problem solving is influenced by the style of management and the type of management-employee interaction.
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Detecting and Prioritizing Problems
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analysis batch binomial binomial distribution calculate capability index cause-and-effect diagram Cavity Chapter coefficient column confidence interval consider control charts control limits cost customers discussion display dot diagrams error estimate example explanatory variables factorial experiment factors Figure fill weight frequencies gauge given graph histogram ideas important interaction interquartile range lowa measurements method monitor normal distribution number of defectives obtain operating characteristic curve p-chart parameter percentile Poisson Poisson distribution population pre-control prediction interval probability problem problem-solving procedure process mean proportion Quality Control quality improvement Quality Progress random sample random variable response sample average sample inspection plan sampling plan scatter plot selected simple random sampling solving specification limits squares standard deviation statistical process control steel flats step strategy subgroup survey Table Taguchi Taguchi method target techniques temperature variation width x-bar chart