Sampling Hour | Shift | Sample 1 | Sample 2 | Sample 3 | Sample 4 |
6:00 AM | 1 | 10.94 | 10.74 | 11.06 | 10.66 |
7:00 AM | 1 | 10.66 | 10.6 | 10.8 | 10.68 |
8:00 AM | 1 | 10.68 | 10.6 | 10.54 | 10.36 |
9:00 AM | 1 | 10.03 | 10.72 | 10.74 | 10.7 |
10:00 AM | 1 | 10.7 | 10.62 | 11.04 | 10.58 |
11:00 AM | 1 | 10.38 | 10.42 | 10.66 | 10.4 |
12:00 PM | 1 | 10.46 | 10.6 | 10.26 | 10.02 |
1:00 PM | 1 | 10.66 | 10.6 | 10.22 | 10.68 |
2:00 PM | 2 | 10.5 | 10.78 | 10.68 | 10.58 |
3:00 PM | 2 | 10.58 | 10.48 | 10.58 | 10.4 |
4:00 PM | 2 | 10.8 | 10.74 | 10.36 | 10.6 |
5:00 PM | 2 | 10.42 | 10.6 | 10.64 | 10.34 |
6:00 PM | 2 | 10.52 | 10.6 | 10.46 | 10.6 |
7:00 PM | 2 | 11.04 | 10.72 | 10.56 | 10.5 |
8:00 PM | 2 | 10.52 | 10.62 | 10.68 | 10.7 |
9:00 PM | 2 | 10.38 | 10.42 | 10.76 | 10.54 |
10:00 PM | 3 | 10.56 | 10.6 | 10.28 | 10.68 |
11:00 PM | 3 | 10.58 | 10.6 | 10.58 | 10.64 |
12:00 AM | 3 | 10.42 | 10.78 | 10.64 | 10.86 |
1:00 AM | 3 | 10.01 | 10.48 | 10.84 | 10.7 |
2:00 AM | 3 | 10.84 | 10.64 | 10.4 | 10.52 |
3:00 AM | 3 | 10.54 | 10.36 | 10.6 | 11.02 |
4:00 AM | 3 | 10.68 | 10.4 | 10.56 | 10.32 |
5:00 AM | 3 | 10.7 | 10.6 | 10.74 | 10.52 |
1- Which control chart is the most appropriate to evaluate this
case? Explain your answer.
2- Construct the process control graph for the critical
parameter.
3- Analyze the graph and interpret your results. Determine if the
process is in control or not. Explain your answer.
4- Considering the product specifications, determine the process
capacity (Cpk).
5- What conclusions can you reach? What would be your next
steps?
Answer 1:
The control charts which should be used for the data provided are:
As the data provided is samples with 4 observations each (so the accommodate the variability of observations recorded and the spread of observations Mean X̅-chart and Range R-Chart should be used).
--------------------------------------------
Answer 2:
Based on the sample size, the Control chart constants are:
Sample size |
4 |
A2 |
0.729 |
D3 |
0 |
D4 |
2.282 |
Populate the data for Mean (X̅-chart):
Plot the Mean (X̅-chart):
Populate the data for Range (R-chart):
Plot the Range (R-chart):
--------------------------------------------
Answer 3:
Hence, the process is under control.
If any sample observation would have breached control limits it could have resulted in process being out of control (which is not the case here).
PROCESS IS UNDER CONTROL.
--------------------------------------------
Answer 4:
Mean |
μ |
10.59 |
minutes |
Standard deviation |
σ |
0.103 |
minutes |
UCL |
11.00 |
minutes |
|
LCL |
10.00 |
minutes |
Capability Index |
Formula |
Value |
Lower |
Cpl = (μ-LCL)/3σ |
1.91 |
Upper |
Cpu = (UCL-μ)/3σ |
1.33 |
Process |
Cpk = Min(Cpu,Cpl) = |
1.33 |
Cpk = 1.33
Cpk value of 1.33 indicates that the process is capable and meets specification limits.
------------------------------------------------------------------------
Note: If you liked the answer please give an Up-vote, this will be quite encouraging for me, thank you!
Sampling Hour Shift Sample 1 Sample 2 Sample 3 Sample 4 6:00 AM 1 10.94 10.74...
I need answers to E - H please. Table A Areas under the normal curve, 0 to z 01 Z 00 15 19 Use Table-A 3 4 2 Sample Number with errors 7 5 4 a. Determine the fraction defective in each sample. (Round your answers to 4 decimal p Fraction defectve Sample 0.0253 1 0.0202 2 0.0354 3 0.0404 4 b.lf the true fraction defective for this process is unknown, what is your estimate of it? (Ro the "%"...
Sample Number Average Weight 1 654.9 2 603.8 3 623.7 4 606.7 5 618 6 584 7 569.8 8 606.7 9 609.5 10 572.7 11 575.5 12 569.8 13 615.2 14 595.3 15 612.3 16 606.7 17 578.3 18 646.4 19 598.2 20 586.8 21 612.3 22 635 23 603.8 24 598.2 25 569.8 26 601 27 64.2 28 598.2 29 612.3 30 603.8 Exercise 2: Canned Tomatoes During long production runs of canned tomatoes, the average weights (in mL)...
B * 67%C4) Mon 1:00 PM a ⓇO E5.2 (LO 1, 2, 3, 4, 5, 6) K The following are some of the terms discussed in the chapter: Match concepts with descriptions. 1. Gross profit 2. Perpetual inventory system 3. Cost of goods sold 4. Purchase returns 5. Freight out 6. FOB shipping point 7. Periodic inventory system 8. Subsidiary ledger 9. Sales discounts 10. FOB destination 11. Sales allowance 12. Non-operating activities 13. Profit margin 14. Contra revenue account...
1. The postmaster of a small western city receives a certain number of complaints each dayabout mail delivery. Construct a control chart with three sigma limits using the following data. Is the process in control? SAMPLE1234567891011121314Number of complaints4101489651213764210