Featuring: Joe Hulseman, Lean Six Sigma Master Black Belt, Avis Budget Group
You’ve done a great job improving a process in one area of the business. In an ideal world, that successful process change would be adopted at all site locations. But what usually happens next? All too often, the answer to that question is, unfortunately, “not much.”
That’s not the case, though, at Avis Budget Group (ABG), a leading global provider of vehicle rental services. ABG utilizes a dedicated team of 90 PEX Leaders around the globe to improve and standardize the customer car rental experience. This model uses projects that are replicated at multiple locations and is designed to enhance the customer experience.
But how do they achieve that when they have over 30,000 employees and more than 10,000 rental locations? And why is project replication so important to the customer experience?
5. Performance Excellence
Why “Lean / Six Sigma”?
Challenging Operating Environment due to:
Vehicle costs dramatically increased in 2 year
time period
Difficulty in recapturing increasing expenses
through pricing
Cost cutting measures only took us so far.
7. Performance Excellence
Deployment Status
Started in May 2007
Currently have 90 PEx Leaders worldwide
3 Master Black Belts
9 Black Belts
15 Green Belts
14 Green Belts in training
PEx commitment of 2 – 3 years
7
9. Performance Excellence
Projects
Running a project in one location is good
Replicating those benefits elsewhere is GREAT!!!
Standardized process steps
Faster project execution time
Addresses unique issues at each location
Formal method and tools to replication world-wide
10. Performance Excellence
Why the path of Replication?
Shorter cycle time to complete the project
Our airport locations should have SOPs
Almost 2,500 local market stores
Majority of savings is from replications
11. Performance Excellence
Chosen for Replication
Obvious replication candidate
Discussed the opportunity with
management at several other locations
Final review – Senior Leadership
Approval
Next step – Replication Package
11
14. Performance Excellence
What’s included in the Replication
package?
Project Background
Areas impacted by project
Instructions to implement
Objective
Helpful hints
Financial Metrics
Lessons Learned
Original Team Members
Management tools
Data
Reporting Mechanisms
Key Measurements
14
New Process Steps
List of who is necessary to
be on the project team
15. Performance Excellence
Testing the Package
Test package in at least two locations
- First location with original team
- Second location with different team
If successful, move into Replication status
Hold replication call
15
22. Check-In Standardization
ORD Avis
Performance Excellence
Run Date
July 2008
November 1st, 2007
Champion
100%
95%
90%
85%
80%
75%
70%
65%
60%
55%
50%
650
550
450
350
250
150
AUG
SEP
Rick Thiele
Keys Replaced / Lost & Found Items
750
50
Juanita Chaidez
PEx Leader
CSR Behavior Observations
Robert Jarrett
Process Owner
OCT
NOV
DEC
150
15
10
110
90
70
5
50
Keys Goal:
Less than 5
0
JAN
FEB
MAR
APR
MAY
JUN
JUL
Total Observations
565
349
395
694
267
287
295
Keys Replaced
% Correct
94%
95%
98%
93%
93%
93%
97%
Lost & Found Items
% Check Ins Charged Fuel
130
L&F Goal:
Less than 120
30
JAN
FEB
MAR
APR
MAY
JUN
JUL
8
6
3
4
4
4
148
135
125
134
103
99
AUG
SEP
OCT
NOV
DEC
10
3
82
# of Damage Vehicles w/o Reports
55%
60
50%
50
45%
40
40%
Goal:
Over 40%
35%
30
30%
20
25%
10
20%
Check Ins Charged Fuel
22
Goal:
Less than 10
JAN
FEB
MAR
APR
MAY
JUN
JUL
49%
50%
45%
49%
45%
42%
44%
AUG
SEP
OCT
NOV
DEC
0
# of Damage Vehicles w/o Reports
JAN
FEB
MAR
APR
MAY
JUN
JUL
57
60
65
30
15
9
10
AUG
SEP
OCT
NOV
DEC
23. Performance Excellence
Score Card
One Place to view results
Tracking all current projects
Tracks Performance metrics separate
from financial metrics
Easy to read “Red”, “Yellow” or
“Green” status for projects.
23
28. Performance Excellence
Business Metrics – Run v nonRun
Optimize Flow - nonRev's as % of Total
Run v nonRun
Statistics
Mean Test
Is Non Rev % Ru less than Non Rev % no?
0
0.05 0.1
> 0.5
Yes
No
P = 0.000
The mean of Non Rev % Ru is significantly less than the
mean of Non Rev % no (p < 0.05).
Non Rev % Ru
Non Rev % no
Sample size
Mean
90% CI
Standard deviation
14
0.20571
(0.1683, 0.2432)
0.079137
14
0.31621
(0.29968, 0.33275)
0.034940
Difference between means*
90% CI
-0.1105
(-0.15072, -0.070280)
* The difference is defined as Non Rev % Ru - Non Rev % no.
90% CI for the Difference
Does the interval include zero?
Comments
-0.16
-0.12
-0.08
-0.04
0.00
Distribution of Data
Compare the data and means of the samples.
Non Rev % Ru
-- Test: You can conclude that the mean of Non Rev % Ru
is less than Non Rev % no at the 0.05 level of significance.
-- CI: Quantifies the uncertainty associated with estimating
the difference from sample data. You can be 90% confident
that the true difference is between -0.15072 and -0.070280.
-- Distribution of Data: Compare the location and means of
samples. Look for unusual data before interpreting the
results of the test.
Non Rev % no
0.1
0.2
0.3
0.4
28
29. Performance Excellence
Business Metrics – PreRun v Post Run
Select & Go VOTC 'Rental Car Received'
Current Period v Prior Period
Statistics
Mean Test
Is Car Rec Ru_1 greater than Car Rec Ru_2?
0
0.05 0.1
> 0.5
Yes
No
P = 0.011
The mean of Car Rec Ru_1 is significantly greater than the
mean of Car Rec Ru_2 (p < 0.05).
Car Rec Ru_1
Car Rec Ru_2
Sample size
Mean
90% CI
Standard deviation
16
5.5411
(5.514, 5.569)
0.062739
16
5.4698
(5.4263, 5.5134)
0.099340
Difference between means*
90% CI
0.071323
(0.021149, 0.12150)
* The difference is defined as Car Rec Ru_1 - Car Rec Ru_2.
90% CI for the Difference
Does the interval include zero?
Comments
0.00
0.03
0.06
0.09
0.12
Distribution of Data
Compare the data and means of the samples.
Car Rec Ru_1
-- Test: You can conclude that the mean of Car Rec Ru_1 is
greater than Car Rec Ru_2 at the 0.05 level of significance.
-- CI: Quantifies the uncertainty associated with estimating
the difference from sample data. You can be 90% confident
that the true difference is between 0.021149 and 0.12150.
-- Distribution of Data: Compare the location and means of
samples. Look for unusual data before interpreting the
results of the test.
Car Rec Ru_2
5.3
5.4
5.5
5.6
5.7
29
33. Performance Excellence
Recapping the path to replication
Idea
Assignment of “Original Project”
Shepherd towards replication
Test in other locations
Develop Info Map Package
Replication Instruction call
Begin Replicating
36. PDU Credits
This webcast session entitles you to obtain 1 PDU towards your PMP as
per the PMI Organization.
This session appears on www.pmi.org web site page. Continuing
Certification Requirements System: https://ccrs.pmi.org/search
Course information:
• Rep #: 2750
• Provider Name: Upland Software
• Course ID: 11132013
• Program Name: Effective Strategies for Replicating Projects Globally