HomeworkChapter9QualityTQMTools

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Homework Chapter 9 Quality #2 Checklist for Equipment repairs by Customer Types C ommercial R esidential N oisy 111 =3 11111 11111 =10 Equipment F ailure 11 =2 11111 11 =7 Runs W arm 1111 =4 111 =3 O dor 11111 11 =7 11111 =5 What does this tell us? The checklist allows us to categorize our data in a meaningful way and make specific conclusions from the data rather than guesses. For example, what is the biggest commercial problem? Odor. So? How does that help us with Quality? We know (and didn’t guess. ...TQM is about Science!) that Odor is the biggest problem commercial customers have, so we should (1) train our workers to deal with it, (2) make sure trucks have supplies to fix the problem, etc. Our main Residential complain, is Noise. Again, with knowledge of this fact, we should arm ourselves to deliver a better quality service. Pareto Diagram is just a bar chart 10| _____ 9 | | | 8 | | | 7 | | | _____ 6 | | | | | 5 | | | | | ____ 4 | | | | | 3 | | | | | _____ 2 | |
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Unformatted text preview: | | | 1 | | | | | 0 |_| ____ |_______|____ |__________________________________ Noisy Failure Warm Odor Residential The Pareto analysis simply reorganizes the data to show a visual display. ...you can clearly see that Noise is the #1 Residential Customer complaint. Problem 8 (b), page 423 Make a simply plot of Temp and Error with Temp on the X axis and Error on the Yaxis. You should develop a U-shaped plot where the error rate is very low (near 0) at around 70 degrees. What does this graph suggest? That errors increase at Temperatures below 66 and above72. How does this help you with Quality? If we can control temperature between 66-72, the error rate falls significantly, allowing us to produce a higher quality product. TQM Tools: What do all the TQM tools do for us? They help us organize data and make it meaningful so we can understand more about the causes of quality problems and find solutions....
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