quantify opportunity six sigma foundations continuous improvement training six sigma foundations...
DESCRIPTION
What is Quantify Opportunity? Process Agree with the team the key X’s Identify which the team can control Share how much the team can control Y Share the Vision of how much the team will manipulate the key X’s to control Y Finalize with the Champion the Charter – goal, team, budget benefits, schedule. Process Agree with the team the key X’s Identify which the team can control Share how much the team can control Y Share the Vision of how much the team will manipulate the key X’s to control Y Finalize with the Champion the Charter – goal, team, budget benefits, schedule.TRANSCRIPT
Quantify Opportunity
Six Sigma FoundationsContinuous Improvement Training
Six Sigma Simplicity
What is Quantify Opportunity?
Aim of this Module
Finalize with the Champion - the Charter goal, team, budget benefits, schedule … based on facts and understanding S,C,N
What is Quantify Opportunity?
s Processs Agree with the team the key X’ss Identify which the team can controls Share how much the team can control Y s Share the Vision of how much the team
will manipulate the key X’s to control Ys Finalize with the Champion the Charter
– goal, team, budget benefits, schedule.
SCN : Standard, Control, Noise
s Of the causes Quantified and Verified we now categorize them into S,C,N -standard, control or noise.
s The purpose is to agree to focus on which X’s can be changed and how much Y can be changed
SCN – Definitions
s Standard will not significantly change during project
s Control may change during project and the team can choose its level
s Noise everything else
SCN – Definitions
‘…give me the courage to change the things I can change, the patience to accept the things I can’t change, and the wisdom to know the difference…’
SCN vrs time
0
2
4
6
8
10
12
14
16
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
Time
S
C
N
SCN Relation to SIPOC
s You would expect to find in SIPOC’s input column the X’s that contribute the largest effects on Y
s Further the Control types are typically those Inputs for whom the Supplier is a member of your project team
s Clearly the presence of suppliers of key inputs on your team will increase the scope of your control
Regression Example
s The example is the relationship of the cost of paint compared to the area of a skid.
s If there is a practical benefit to making more accurate predictions consult your black belt.
3 4 5 6 7 8 9 10 11 12
0
500
1000
Area m2of skid
Cost
of p
aint
Cost of paint = -170 + 95 x Area of skid
Regression
95% CI
95% PI
Regression Plot
Predictive Equation
807060
60
50
40
X
Strong Linear
53.552.551.550.549.548.547.546.5
5554535251504948474645
X1
No Relationship
55545352515049484746
5554535251504948474645
Moderate Linear
0 10 20 30 40 50 60 70 80 90 100
4.5
5.0
5.5
6.0Strong Non-Linear
Examples of Variable Relationships
Questions: Is There Any Evidence That Horsepower And Miles Per Gallon Are Related? How About Horsepower And Acceleration?
1101009080706050
25
20
15
10
1101009080706050
45
40
35
30
25
20
Horsepower
Generating Scatter Plots
Cars82.mtw
HorsepowerM
PG
Acc
eler
atio
n
Quantify Opportunity
Six Sigma FoundationsContinuous Improvement Training