Quality Control Management

Download Six Sigma Case Studies with Minitab® by Kishore K. Pochampally PDF

By Kishore K. Pochampally

Six Sigma is among the most generally used caliber development methodologies this present day, either in production and repair industries. Minitab® is a statistical software program package deal that's usually utilized in conjunction with Six Sigma initiatives. This publication illustrates the appliance of Minitab® for 6 Sigma tasks, utilizing case experiences in various sectors, comparable to healthcare, production, airline, and speedy meals. Detailed Read more...

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Additional info for Six Sigma Case Studies with Minitab®

Example text

1 Define Phase The process engineer has the following hypothesis tests to perform: Test 1 is to check whether the population proportion of defectives is less than the target of 5%. 05. 05. Test 2 is to check whether the length of the product from Machine Q is equal to the target of 10 inches. It is suspected to be less than 10 inches. In other words, Null Hypothesis: Product length from Machine Q = 10. Alternative Hypothesis: Product length from Machine Q < 10. Test 3 is to check whether or not the mean diameters of products are all the same across the three shifts.

05, the data are normally distributed. 223 grams. 223), it is clear that the process has improved with respect to the mean fat content. The operations manager then proceeds to verify his assumption that the standard deviation of the fat content is less than 1 gram. 15 I-MR charts after improvement. 16 Graphical summary after improvement. 273 Confidence Intervals to Assess Variation in Fat Content 33 Test and CI for One Variance: Fat Method The chi-square method is only for the normal distribution.

1200” for “Number of trials”. Click on “Options” and select “less than” for “Alternative” because the operations manager is interested in lowering the proportion of all customers who are dissatisfied. Also, check the box for “Use test and interval based on normal distribution”. 31. 32 is the result. 7%). The operations manager is satisfied that the process has improved. 027615 Using the normal approximation. 32 One-sided 95% confidence interval for population proportion after improvement. 5 Control Phase The operations manager plans to check the hamburger preparation process on the three grills regularly, in order to ensure that the customers consistently get what they are promised.

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