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Plot the data your control charts

Case Part A: Tesla’s Quality Challenge

1. Consumer Reports, the service that reports unbiased testing and ratings on cars (together with about everything else we buy), recommends avoiding new cars in their first year of production, especially those loaded with new technology. What can Tesla do to refute this recommendation?

Part B: Quality Control Analytics

𝒁_𝑳𝑺𝑳=⁡[(𝑳𝑺𝑳−𝑿 ̿)/ 𝒁_𝑼𝑺𝑳=⁡[(𝑼𝑺𝑳−𝑿 ̿)/𝝈]

USL=

Xbar =

Probability(Zusl)=
Fraction defective (%)

Explain what is means

Note the Lower Specification Limit is 1.4 LSL=

Use the sample Xbar Xbar=

Add probabilities
Explain the fraction defective (in %)

Probabilility (Zusl) =
Probabilility (Zlsl) =
Total Prob= Prob (Zusl) + Prob (Zlsl) Fraction defective (in %)

Sigma=

4. What would be the Cpk for the process if it were centered (assume

the process standard deviation is the same)?

HINTS: Calculate Cpk for the lower spec limit component Cpk ...lsl… =

Calculate Cpk for the upperr spec limit component Cpk …usl… =

if the process were centered?

HINTS: Note that Upper Specification Limit is 2.4 USL=

Calculate Zlsl Zlsl=

Find probability using NORMSDIST(Zusl) Find probability using NORMSDIST(Zlsl).

2.40

1.9625

Thus, the fraction defective that are expected to have a thickness
greater than 2.4 is .018441 or 1.84% of the washers.

Give Given Sample data

Hence, the total expected fraction defective is
0.022085 so
2.21% of the
washers that are expected to be
out of tolerance.

process is about 70% capable to

1.40

1.900

there is an

increase in the

wash but it is only increased by 10%.

graph to help you with understanding the probability

0.5 2 1.8 0.8 Mean:
0.65
2.2 2.2 1.9
2.2 2.1 2.1 2 1.8 1.7 1.9 1.9 2.02 0.7
2.2 2.03 0.8

𝑿 ̅−𝐂𝐡𝐚𝐫𝐭⁡𝐂𝐨𝐧𝐭𝐫𝐨𝐥⁡𝐋𝐢𝐦𝐢𝐭𝐬〖𝐔𝐂𝐋〗 _𝑿 ̅⁡=𝑿 ̿+𝑨_𝟐⁡𝑹 ̅
𝐋𝐂𝐋〗 _𝑿 ̅⁡=𝑿 ̿−𝑨_𝟐⁡𝑹 ̅

𝑹−𝐂𝐡𝐚𝐫𝐭⁡𝐂𝐨𝐧𝐭𝐫𝐨𝐥⁡𝐋𝐢𝐦𝐢𝐭𝐬〖𝐔𝐂𝐋〗 _𝑹=𝑫_𝟒⁡𝑹 ̅
𝐋𝐂𝐋〗 _𝑹=𝑫_𝟑⁡𝑹 ̅

Hint:

Arrange the sample data in 4 sample lots with 10 washers.m=

"for all samples" Rbar=

From Exhibit 10.13 find A2 (for Xbar Chart) A2=

𝐔𝐂𝐋〗 _𝑿 ̅⁡

=𝑿 ̿+𝑨_𝟐⁡𝑹 ̅

7. Plot the data on your control charts. Does the current

Try to create your own graph

For plotting Range Chart

Try to create your own graph

relative to fraction defective?

Hint:

Use the newly given Sigma Sigma=

Calculate Zusl Zusl=

Explain what is means

Xbar Chart

Xbar Xbarbar UCL LCL

2.20

to plot Rchart Sample Lot 1
Sample Lot 4
Range Rbar UCL LCL
Sample Lot 1 0.50 0.65 1.16 0.14
Sample Lot 2 0.60 0.65 1.16 0.14
Sample Lot 3 0.70 0.65 1.16 0.14
Sample Lot 4 0.80 0.65 1.16 0.14

Range Chart

1.40

were no out of the control 0.20

limits since it is between the -
UCL and LCL lines. We would

Sample Lot 2 Sample Lot 3 Sample Lot 4
to use
0.650

Sample
Obs 2 Obs 3 Obs 4 Obs 5 X-bar
2 4 X-bar Chart 16 18 20 22 24

26

x-bar range
Number
1

10.60

10.40 10.30 9.90 10.20 10.28
10.28 0.70
2 9.98 10.25 10.05 10.23 10.33 10.17 0.35 10.8 10.168 0.35
3 9.85 9.90 10.20 10.25 10.15 10.07 0.40 10.07 0.40
4
10.10 10.30 9.90 9.95 10.09 0.40 10.6 10.09 0.40
5
10.20 10.24 10.50 10.30 10.31 0.30 10.4 10.308 0.30
6
10.30 10.20 10.30 9.90 10.16 0.40 10.2 10.16 0.40
7 9.98 9.90 10.20 10.40 10.10 10.12 0.50 10 10.116 0.50
8

10.10

10.30 10.40 10.24 10.30 10.27 0.30 9.8 10.268 0.30
9

10.30

10.20 10.60 10.50 10.10 10.34 0.50 9.6 0 10.34 0.50
10
10.40 10.50 10.10 10.20 10.30 0.40 9.4 6 8 10 12 14 10.3 0.40
11 9.90 9.50 10.20 10.30 10.35 10.05 0.85 10.05 0.85
12
10.36 10.50 9.80 9.95 10.14 0.70 10.142 0.70
13
10.50 10.70 10.10 9.90 10.28
10.28 0.80
Range Chart
14

10.20

10.60 10.50 10.30 10.40 10.40

0.40

10.4 0.40
15
10.30 10.40 10.55 10.00 10.36 0.55 1.4 10.358 0.55
16
10.60 10.15 10.00 10.50 10.29 0.60 10.29 0.60
17
10.40 10.60 10.80 10.10 10.42 0.70 1.2 2 4 6 8 10 12 14 16 18 20 22 24
10.42 0.70
18 9.90 9.50 9.90 10.50 10.00 9.96 1.00 1 9.96 1.00
19

10.60

10.30 10.50 9.90 9.80 10.22 0.80 0.8 10.22 0.80
20

10.60

10.40 10.30 10.40 10.20 10.38 0.40 0.6 10.38 0.40
21 9.90 9.60 10.50 10.10 10.60 10.14 1.00 0.4 10.14 1.00
22 9.95 10.20 10.50 10.30 10.20 10.23 0.55 0.2
10.23 0.55
23
9.50 9.60 9.80 10.30 9.88 0.80 9.88 0.80
0
24
10.60 10.30 9.90 9.80 10.18 0.80 10.18 0.80
25 9.90 10.30 10.60 9.90 10.10 10.16 0.70 10.16 0.70
10.21

0.60

Control limit graph coordinates
10.56 = Upper Control Limit X-bar Chart UCL:

Range Chart

UCL: 10.56
10.56

25

C-line:

1.27 25

C-line: 10.21
10.21

25

0.60 25

Factors

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