An introduction to SigmaXL's Process Capability tools. Established in 1998, SigmaXL Inc. is a leading provider of user friendly Excel Add-ins for Lean Six Sigma graphical and statistical tools and Monte Carlo simulation. SigmaXL® customers include market leaders like Agilent, Diebold, FedEx, Microsoft, Motorola and Shell. SigmaXL® software is also used by numerous colleges, universities and government agencies. Our flagship product, SigmaXL®, was designed from the ground up to be a cost-effective, powerful, but easy to use tool that enables users to measure, analyze, improve and control their service, transactional, and manufacturing processes. As an add-in to the already familiar Microsoft Excel, SigmaXL® is ideal for Lean Six Sigma training and application, or use in a college statistics course.  DiscoverSim™ enables you to quantify your risk through Monte Carlo simulation and minimize your risk with global optimization. Business decisions are often based on assumptions with a single point value estimate or an average, resulting in unexpected outcomes. DiscoverSim™ allows you to model the uncertainty in your inputs so that you know what to expect in your outputs.

1. Process Capability SigmaXL® Version 6.1
Process Capability (Normal Data)
Capability Combination Report
Process Capability for Non-normal Data
Automatic Best Fit
Box-Cox Transformation

2. Process Capability
(Normal Data)



Process Capability/Sigma Level Templates
Multiple Histograms and Process Capability
Capability Combination Report for
Individuals/Subgroups:
 Histogram
 Capability Report (Cp, Cpk, Pp, Ppk, Cpm,
ppm, %)
 Normal Probability Plot
 Anderson-Darling Normality Test
 Control Charts
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Index

3. -12.66
28.28
3.28
81
10
1
12
1
14
1
16
1
18
1
20
1
22
1
24
1
26
1
28
1
30
1
32
1
34
1
36
1
38
1
40
1
42
1
44
1
46
1
48
1
50
1
52
1
54
1
56
1
58
1
60
1
62
1
64
1
66
1
68
1
70
1
72
1
7.34
81
10
1
12
1
14
1
16
1
18
1
20
1
22
1
24
1
26
1
28
1
30
1
32
1
34
1
36
1
38
1
40
1
42
1
44
1
46
1
48
1
50
1
52
1
54
1
56
1
58
1
60
1
62
1
64
1
66
1
68
1
70
1
72
1
61
41
21
1
Delivery Time Deviation
10
0
-1.72
0.00
27
40
17
60
7
3
70
-3
80
-13
50
NSCORE
90
-23
25.5
23.9
22.2
20.6
19.0
17.4
15.7
14.1
12.5
10.9
9.2
7.6
6.0
4.4
2.7
1.1
-0.5
Target = 0
61
41
21
1
Individuals - Delivery Time Deviation
LSL = -10
MR - Delivery Time Deviation
-2.1
-3.8
-5.4
-7.0
-8.6
-10.3
-11.9
Process Capability:
Capability Combination
Report
USL = 10
4
2
1
0
30
-1
20
-2
-3
-4
Delivery Time Deviation
27.34
27.61
22.34
17.34
12.34
2.34
Mean CL: 6.00
-2.66
-7.66
-17.66
-15.60
33.28
23.28
26.54
18.28
13.28
8.28
8.12
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Index

4. Process Capability for
Nonnormal Data



Box-Cox Transformation (includes an automatic threshold option
so that data with negative values can be transformed)
Johnson Transformation
Distributions supported:










Half-Normal
Lognormal (2 & 3 parameter)
Exponential (1 & 2 parameter)
Weibull (2 & 3 parameter)
Beta (2 & 4 parameter)
Gamma (2 & 3 parameter)
Logistic
Loglogistic (2 & 3 parameter)
Largest Extreme Value
Smallest Extreme Value
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5. Process Capability for
Nonnormal Data


Automatic Best Fit based on AD p-value
Nonnormal Process Capability Indices:



Z-Score (Cp, Cpk, Pp, Ppk)
Percentile (ISO) Method (Pp, Ppk)
Distribution Fitting Report


All valid distributions and transformations reported
with histograms, curve fit and probability plots
Sorted by AD p-value
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6. Process Capability for
Nonnormal Data

Distribution options displayed visually
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Index

7. 97
99
93
95
89
91
85
87
81
83
77
79
73
75
69
71
65
67
61
63
57
59
53
55
49
51
45
47
41
43
37
39
33
35
29
31
25
27
21
23
17
19
13
15
9
11
7
5
3
1
Individuals: Overall Satisfaction
(Percentile Control Limits)
5.26
4.98
4.71
4.44
4.17
3.90
3.62
3.35
3.08
2.81
2.54
2.26
1.99
1.72
1.45
Nonnormal Process Capability:
Automatic Best Fit
LSL = 3.5
16
14
12
10
8
6
4
2
0
Overall Satisfaction
5.500
5.000
5.136
4.500
4.000
3.500
3.885
3.000
2.500
2.000
1.500
1.548
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Index

8. Process Capability:
Box-Cox Power
Transformation
Normality Test is
automatically applied
to transformed data!
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