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Fujiyama Electronics

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Fujiyama Electronics Case Study
Victor Panzieri
BSOP 326 Total Quality Management
Professor Wiese
2/24/14

Fujiyama Electronics Case Study This paper looks at constructing control charts from the data given for the variability in the circuits boards purchased from an supplier for the Fujiyama Electronics Company. Data of the thirty samples of four board each are fed into the analysis template to come up with the table below that gives an insight into the variability which would be further used to address the issue.

1. Calculate X-Bar-Bar, R-Bar, and associated control limits using the data in the table above.
From the above image, the X-Bar-Bar number can be seen in the top set of results titled “Center.” Therefore X-Bar-Bar = 5.1

The R-Bar result is the “Center” result the bottom set of data is R-Bar. Therefore R-Bar = 1.083

2. Create X-Bar•R (Average & Range) Control Charts from the data in the table above.

The X-Bar Control Chart is shown below

The R Control Chart is shown below

3. Discuss notable out-of-control conditions displayed in the completed X-Bar•R (Average & Range) Control Charts. Only consider points outside the control limits. Do not consider runs, set of points within certain zones, etc.
From the X-Bar control chart, we can see that two points #19 and #21 are above the upper control limit. From the R-Chart we can see that one point, #18 is above the upper control limit.
4. If the conditions you note could be defined as assignable conditions and they are removed from the process, what will happen to the X-Bar•R Control Chart?
The new table formed after removing the three points, with sample size 27 is shown below

(a) Remove the data related to the out-of-control points you observed from the original data and recalculate a new X-Bar-Bar, R-Bar, and

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