Question: Harvest Cereals produces a wide variety of breakfast products. The companys three best-selling breakfast cereals are Double Bran Bits, Honey Wheat Squares, and Sugar King

Harvest Cereals produces a wide variety of breakfast products. The company’s three best-selling breakfast cereals are Double Bran Bits, Honey Wheat Squares, and Sugar King Pops. Each box of a particular type of cereal is required to meet predetermined weight specifications, so that no single box contains more or less cereal than another. The company measures the mean weight per production run to determine if there are variances over or under the company’s specified upper-and lower-level control limits. A production run that falls outside of the specified control limit does not meet quality standards and is investigated further by management to determine the cause of the variance. The three Harvest breakfast cereals had the following weight standards and production run data for the month of March:


Harvest Cereals produces a wide variety of breakfast products. The


Required
1. Using the + 2 rule, what variance investigation decisions would be made?
2. Present control charts for each of the three breakfast cereals for March. What inferences can you draw from the charts?
3. What are the costs of quality in this example? How could Harvest employ Six Sigma programs to improvequality?

Quality Standard: Mean Weight per Production Run Honey Wheat Squares 14 ounces Sugar King Pops 16.02 ounces Double Bran Bits 17.97 ounces Actual Mean Weight per Preduction Run (Ounces) Production Run Double Bran Bits Honey Wheat Squares Sugar King Pops 18.23 18.14 18.22 18.30 18.10 18.05 17.84 17.66 17.60 17.52 0.28 14.11 14.13 13.98 1389 13.91 14.01 13.94 13.99 14.03 13.97 0.16 5.83 16.11 16.24 15.69 15.95 15.50 15.86 16.23 16.15 16.60 0.21 10 Standard Deviati on

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1 The 2 s rule will trigger a decision to investigate when mean weight per production run is outside the control limit Double Bran Bits Mean 2 s 1797 2 028 or 1741 to 1853 oz Honey Wheat Squares Mean ... View full answer

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