dsq5.docx
March 29, 20225healthpolicy1.docx
March 29, 2022
Colors & Lengths
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M&M Analysis: Tools of Quality – Part #1 |
| M&M Checksheet |
| Team # A |
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| Bag Identifier |
# of Red |
# of Yellow |
# of Blue |
# of Orange |
# of Green |
# of Brown |
| NAS-567 |
3 |
4 |
6 |
6 |
5 |
3 |
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Activity #1 |
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Activity #2 |
| Candy Piece # |
Lengths in (mm) |
| 1 |
12.00 |
| 2 |
11.38 |
| 3 |
11.84 |
| 4 |
13.20 |
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Insert Bar Chart – M&M Colors |
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Insert Histogram – M&M Lengths |
| 5 |
11.84 |
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**** Here***** |
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**** Here***** |
| 6 |
11.69 |
| 7 |
10.75 |
| 8 |
10.28 |
| 9 |
10.60 |
| 10 |
11.06 |
| 11 |
12.15 |
| 12 |
13.09 |
| 13 |
12.00 |
| 14 |
12.78 |
| 15 |
11.53 |
| 16 |
11.22 |
| 17 |
12.16 |
| 18 |
13.25 |
| 19 |
12.78 |
| 20 |
11.69 |
| 21 |
10.92 |
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Activity #3 |
What are the percentages of each color in your sample (fill in the percentage in each box next to the appropriate candy color)? |
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13.40 |
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Candy Color |
Number of Pieces |
Percentage of Total |
Lower Control Limit |
Upper Control Limit |
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Red |
3 |
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10.80% |
13.20% |
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Yellow |
4 |
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13.50% |
16.50% |
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Blue |
6 |
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20.70% |
25.30% |
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Orange |
6 |
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20.70% |
25.30% |
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Green |
5 |
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13.50% |
16.50% |
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Brown |
3 |
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10.80% |
13.20% |
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Activity #4 |
Conclude whether or not the percentages of your sample are reasonably within the expectations communicated by Mars Inc. (within the provided control limits) |
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Shipments
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M&M Analysis: Tools of Quality – Part #2 |
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| M&M Defective Shipment Form Summary |
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| Week |
No. of Shipments |
No. of Shipments with Defects |
Reason for Defective Shipment |
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Week |
No. of New Hires |
No. of Terminations |
Total No. of Workers |
Turnover |
Avg. Number of Shipments Per Worker |
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Incorrect Bill of Lading |
Incorrect Truck Load |
Damaged Product |
Trucks Late |
| 1 |
123 |
5 |
2 |
2 |
1 |
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1 |
1 |
0 |
20 |
1 |
| 2 |
131 |
8 |
1 |
4 |
1 |
2 |
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2 |
2 |
1 |
21 |
3 |
| 3 |
138 |
6 |
2 |
3 |
1 |
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3 |
3 |
2 |
22 |
5 |
| 4 |
145 |
11 |
4 |
4 |
1 |
2 |
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4 |
2 |
0 |
23 |
2 |
| 5 |
165 |
12 |
4 |
4 |
2 |
2 |
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5 |
1 |
2 |
25 |
3 |
| 6 |
190 |
13 |
5 |
5 |
3 |
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6 |
1 |
4 |
24 |
5 |
| 7 |
205 |
15 |
7 |
6 |
1 |
1 |
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7 |
2 |
1 |
21 |
3 |
| 8 |
201 |
15 |
6 |
7 |
0 |
2 |
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8 |
1 |
2 |
22 |
3 |
| 9 |
204 |
15 |
5 |
6 |
2 |
2 |
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9 |
1 |
1 |
21 |
2 |
| 10 |
215 |
17 |
5 |
6 |
4 |
2 |
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10 |
1 |
2 |
21 |
3 |
| TOTALS |
1717 |
117 |
41 |
47 |
16 |
13 |
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Activity #5 |
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Activity #6 |
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Insert your Pareto – Reason for Defective Shipment Chart |
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Insert your Avg Num of Shipments Per Worker Vs. Num of Defects Chart |
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*** Here *** |
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*** Here *** |
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Activity #7 |
With limited time and funds for defect analysis, which of the four defect reasons should you focus on based on what you have learned in this module? |
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Activity #8 |
Analyze the two lines in your Avg Number of Shipments Per Worker vs. Number of Defects graph. Is there a relationship between the two lines? If so, what is the relationship and what can you conclude? |
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