Q1-A product has three quality characteristics. The nominal values of these quality characteristics and their sample covariance matrix have been determined from the analysis of 30 preliminary samples of size n=10 as follows:. The sample means for each quality characteristic for 15 additional samples of size n=10 are show below. Is the process in statistical control? Please provide details.
Sample #
Xbar1
Xbar2
Xbar3
1
3.1
3.7
3
2
3.3
3.9
3.1
3
2.6
3
2.4
4
2.8
3
2.5
5
3
3.3
2.8
6
4
4.6
3.5
7
3.8
4.2
3
8
3
3.3
2.7
9
2.4
3
2.2
10
2
2.6
1.8
11
3.2
3.9
3
12
3.7
4
3
13
4.1
4.7
3.2
14
3.8
4
2.9
15
3.2
3.6
2.8
Answer:
Q2 – The below table presents chemical process data. Using Engineering Process Control Chart in Module14 (Course Note), find the reset points and Construct the Control Charts.
Answer:
Q3 (Benchmarking Question)-Perform benchmarking for Company X and provide remedy options (Methodology, Tools, Techniques) to improve Company X performance?
Key Process Area
Industry Average
Company X
Difference
Remedy options
450
260
Materials
31,000
30,000
Warehousing
975
3,000
Material control
180
3,500
Materials preparation
85
550
Production control
725
3,800
Assembly
10,000
11,100
Integration & test
3,060
2,050
Incoming inspection
75
275
In-process inspection
200
500
Supplier auditing
1,250
150
Internal auditing
2,800
200
Answer:
Questions
- Specifications are at 40 +/-
- The quality characteristic is normally distributed. Estimate the potential capability of the process and explain your conclusion.
Answer:
Q5 -Explain the shortcomings of control ellipse in Multivariate Monitoring Chart?