8-1 is process capable ? the quality improvement model use spc to maintain current process collect...
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8-1
IsProcessCapable
?
IsProcessCapable
?TheQualityImprovementModel
Use SPC to Maintain Current Process
Collect & Interpret
Data
Select Measures
Define Process
IsProcessCapable
?
IsProcessCapable
?
Improve Process
Capability
IsProcessStable
?
Investigate & Fix
Special Causes
No
Yes
No
Yes
Is Process Capable?
Purpose:Determine the adequacy of the process with respect to customer /management needs.
8-2
IsProcessCapable
?
IsProcessCapable
?Capable Process
A stable process that meets customer requirements.
8 22 242 4 6 10 12 14 16 18 20 26 28 30 32
Run Order
UCL
CL
LCL
Control Chart
Lower Spec Upper SpecTarget
Histogram
Capability assessments for unstable processes, may not be indicative of how the process is actually performing.
8-3
IsProcessCapable
?
IsProcessCapable
?
Assessing Process Capability
Counting Measures The average percent defectives. The average number of defects.
Instrument Measures Comparing both the center of the process and the
process variation
8-4
IsProcessCapable
?
IsProcessCapable
?
Capability Assessment for Counting Measures
“Order Entry Process”
Is this process adequate as is?
Should it be improved?
Week123456789
1011121314151617181920
Total
# Errors15221810139
2712242288
26162010169
1520
320
0
5
10
15
20
25
30
35
5 10 15 20
Avg=16.0
LCL=4.0
UCL=28.0
Week
Numberof Errors
Control Chart
8-5
IsProcessCapable
?
IsProcessCapable
?
Measures of Process CapabilityCp = Specification Range
True Process Range = USL - LSL
6c
Cpk =
Distance from process averageto closest specification limit
12 True Process Range
= min (USL - x , x - LSL)3c
Problem: We are assuming the process has a target that is in the center of the specification range, and that the process is in fact centered on that target.
Note: a negative result is possible if the process average is outside specifications
Benefits: • Optimal values are attained by running exactly between specs. • Can (must) be used for 1-sided specifications
Cp < 1.0 Process is not capable of meeting specsCp = 1.0 Process is marginally capableCp > 1.0 Process is capable of meeting specs
Cpk < 1.0 Process is not capable of meeting specsCpk = 1.0 Process is marginally capableCpk > 1.0 Process is capable of meeting specs
Warning: Capability assessments for unstable processes, may not be indicative of how the process is actually performing.
8-6
IsProcessCapable
?
IsProcessCapable
?
How much material is out of spec? In the short term? In the long term?
USLUSLLSLLSL
Process Capability
8-7
IsProcessCapable
?
IsProcessCapable
?Process Capability Ratios
Voice of The Customer
Voice of The Process
USLUSLLSLLSL
8-8
IsProcessCapable
?
IsProcessCapable
?Process Capability - The Strategy
Centering –The Process Is On Target
Spread – Reduce The Variation
LSL USL
DefectsDefects
8-9
IsProcessCapable
?
IsProcessCapable
?
2 Key Metrics for Measuring Capability
C Min( X-LSL
3
USL- X
3pk
, )
c
LSLUSLCp
6
c c
Process Capability Ratios
8-10
IsProcessCapable
?
IsProcessCapable
?Process Capability Ratios - Concept
Total ToleranceC
Process Spreadp
c
LSLUSLCp
6
8-11
IsProcessCapable
?
IsProcessCapable
?
A Short-term Capability study covers a relatively short period of time (days, weeks) generally consisting of 30 to 50 data points. The actual number depends on the subject under study.
Is The ProcessIn Control ?
Is It Producing Defects ?
35302520151050
39
34
29
24
Observation Number
Indi
vidu
al V
alu
e
I Chart for C1
X=30.60
3.0SL=37.36
-3.0SL=23.84
CP & CPK Measure Short-term Capability
8-12
IsProcessCapable
?
IsProcessCapable
?
A long-term capability study covers a relatively long period of time (weeks, months) generally consisting of 100-200 data points. Again, the actual amount depends
on the subject under study.
Is The ProcessIn Control ?
Is It Producing Defects ?
100500
50
40
30
20
Observation Number
Indi
vidu
al V
alu
e
I Chart for C3
X=33.80
3.0SL=47.12
-3.0SL=20.49
Long Term Performance
Short term Capability
8-13
IsProcessCapable
?
IsProcessCapable
?
A Further Look at Capability
Compare the estimates of the process deviations from the short-term and long-term data
What is the difference between the short-term and the long-term data?
What implication does this have in doing capability studies?
What is the difference between the short-term and the long-term data?
What implication does this have in doing capability studies?
Descriptive Statistics
Variable N Mean StdDev short term 30 30.6 2.23 long term 180 33.8 4.44
8-14
IsProcessCapable
?
IsProcessCapable
?
Measures of Process PerformanceP p = Specification Range
True Process Range = USL - LSL
6s
Ppk =
Distance from process averageto closest specification limit
12 True Process Range
= min (USL - x , x - LSL)3s
Problem: We are assuming the process has a target that is in the center of the specification range, and that the process is in fact centered on that target.
Note: a negative result is possible if the process average is outside specifications
Benefits: • Optimal values are attained by running exactly between specs. • Can (must) be used for 1-sided specifications
P p < 1.0 Process Performance is not meeting specsP p = 1.0 Process Performance is marginally meeting specsP p > 1.0 Process Performance is meeting specs
Ppk < 1.0 Process Performance is not meeting specsPpk = 1.0 Process Performance is marginally meeting specsPpk > 1.0 Process Performance is meeting specs
8-15
IsProcessCapable
?
IsProcessCapable
?
Performance vs. Capability
These data show that the process, if well controlled can perform much better than it currently is
5040302010
14
13
12
11
10
Index
CO
2-S
hrt
CO2 Levels for 55 Time PointsDays Sales Outstanding for 55 Days
DS
O
8-16
IsProcessCapable
?
IsProcessCapable
?Capability vs. Performance
5040302010
14
13
12
11
10
Index
CO
2-S
hrt
CO2 Levels for 55 Time PointsDays Sales Outstanding for 55 Days
DS
O
Process Performance: Total Variation including
shifts and drifts
(Pp & Ppk)
Capability: Only random or short term variability
(Cp & Cpk)
8-17
IsProcessCapable
?
IsProcessCapable
?
Process Performance Ratios
The P-family of indices are computationally the same as the C-family of ‘capability’ indices, but use the observed
long-term standard deviation.
P Min( X-LSL
3
USL- X
3pk
, )
s
LSLUSLpP
6
s s
8-18
IsProcessCapable
?
IsProcessCapable
?
WARNING!!!WARNING!!!Statistical Assumptions Made In Capability
Studies
1. Data Comes From a Stable ProcessData Comes From a Stable Process If not, work towards getting the process in
control Don’t despair, you can still make some
assumptions about your process in the mean time
2. Data are Normally DistributedData are Normally Distributed If not, transform it (ask the instructor)
If Items #1 and #2 aren’t met, results will be misleading