process capability
DESCRIPTION
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.TRANSCRIPT
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
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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Process Capability:
Capability Combination
Report LSL = -10 USL = 10Target = 0
0
10
20
30
40
50
60
70
80
90
-11.9
-10.3
-8.6
-7.0
-5.4
-3.8
-2.1
-0.5
1.1
2.7
4.4
6.0
7.6
9.2
10.9
12.5
14.1
15.7
17.4
19.0
20.6
22.2
23.9
25.5
Delivery Time Deviation
-4
-3
-2
-1
0
1
2
3
4
-23
-13 -3 7
17
27
Delivery Time Deviation
NS
CO
RE
Mean CL: 6.00
-15.60
27.61
-17.66
-12.66
-7.66
-2.66
2.34
7.34
12.34
17.34
22.34
27.34
1 21 41 61 81 101
121
141
161
181
201
221
241
261
281
301
321
341
361
381
401
421
441
461
481
501
521
541
561
581
601
621
641
661
681
701
721
Ind
ivid
uals
- D
eli
very
Tim
e D
evia
tio
n
8.12
0.00
26.54
-1.72
3.28
8.28
13.28
18.28
23.28
28.28
33.28
1 21 41 61 81 101
121
141
161
181
201
221
241
261
281
301
321
341
361
381
401
421
441
461
481
501
521
541
561
581
601
621
641
661
681
701
721
MR
- D
eli
very
Tim
e D
evia
tio
n
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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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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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Distribution options displayed visually
Process Capability for
Nonnormal Data
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Nonnormal Process Capability:
Automatic Best Fit
LSL = 3.5
0
2
4
6
8
10
12
14
16
1.4
5
1.7
2
1.9
9
2.2
6
2.5
4
2.8
1
3.0
8
3.3
5
3.6
2
3.9
0
4.1
7
4.4
4
4.7
1
4.9
8
5.2
6
Overall Satisfaction
3.885
1.548
5.136
1.500
2.000
2.500
3.000
3.500
4.000
4.500
5.000
5.500
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47 49 51 53 55 57 59 61 63 65 67 69 71 73 75 77 79 81 83 85 87 89 91 93 95 97 99
Ind
ivid
uals
: O
vera
ll S
ati
sfa
cti
on
(Perc
en
tile
Co
ntr
ol
Lim
its)
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Process Capability:
Box-Cox Power
Transformation
Normality Test is
automatically applied
to transformed data!
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