OM 300 1st Edition Lecture 12 Outline of Current Lecture I Purpose of a Control Chart II Setting Control Limits Current Lecture Darden Video Quality Farm to plate Setting Chart Limits Creating Control Charts Setting Chart Limits For x Charts when we know For x Charts when we don t know For R Charts For p Charts These notes represent a detailed interpretation of the professor s lecture GradeBuddy is best used as a supplement to your own notes not as a substitute c Charts R Chart Type of variables control chart Shows sample ranges over time o Differences between smallest and largest values in sample Monitors process variability Independent from process mean p Chart Population will be a binomial distribution but applying the Central Limit Theorem allows us to assume a normal distribution for the sample statistics c Chart Population will be a Poisson distribution but applying the Central Limit Theorem allows us to assume a normal distribution for the sample statistics Steps in Creating Control Charts 1 Take samples from the population and computes the appropriate sample statistic 2 Use the sample statistic to calculate control limits and draw the control chart 3 Plot sample results on the control chart and determine the state of the process in or out of control 4 Investigate possible assignable causes and take any indicated action 5 Continue sampling from the process and reset the control limits when necessary Control Charts for Attributes For variables that are categorical o Defective nondefective good bad yes no acceptable unacceptable Measurement is typically counting defectives Charts may measure 1 Percent defective p chart 2 Number of defects c chart
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