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Effective Strategies for
Replicating Projects Globally

1
Performance Excellence

Joe Hulseman

Avis Budget Group
Joseph.Hulseman@AvisBudget.com
Performance Excellence

Topics
Quick Overview of our deployment
Going from Original project to replication

Measuring Project implementation &
success
Managing Project Pipeline
Performance Excellence

Our Brands
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.
Performance Excellence

Performance Excellence
New way to evaluate & improve processes,
removing waste and defects
Ability to take new “methods” and
implement throughout company
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
Project Growth Since Inception
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
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
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
Performance Excellence

Replication Package

12
Performance Excellence

Replication Package

13
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
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
Performance Excellence

Who Replicates?
PEx Replication Leaders
JDI – Location Management
Specialists

16
Performance Excellence

Replication “SCORE” checklist

17
Performance Excellence

Replication
“SCORE”
checklist
Pre-S

18
Performance Excellence

Sustainability
Weekly calls helps to identify problems &
“Golden Nuggets”

One page monthly report review
Monthly Area by Area Scorecard review

Finance updates Actual results monthly
Monthly Business Metrics Review
19
Performance Excellence

How do we track & measure?
Power Projects
“One Pagers”
Score Card
Minitab Statistical Testing
20
Performance Excellence

21
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
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
Example “ScoreCard”
Performance Excellence

Business Metrics
Statistical Review using Minitab
Comparing:
 Run v Non Run Locations
 Pre Run v Post Run

Ensures project success and
sustainability beyond financials

27
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
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
Performance Excellence

The Path to Replication
Managing the
Pipeline of
Projects
Performance Excellence

Manage the replication schedule
Performance Excellence

Manage the New Project Pipeline
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
Performance Excellence

Key Components
Communication
Accountability
Tracking System
Measurement
Reporting
Financial
Manage Project Pipeline
34
Performance Excellence
35

Thank You
Joe Hulseman
Avis Budget Group
Joseph.Hulseman@AvisBudget.com
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

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Avis Budget Group - Effective Strategies for Replicating Projects Globally

  • 2. Performance Excellence Joe Hulseman Avis Budget Group Joseph.Hulseman@AvisBudget.com
  • 3. Performance Excellence Topics Quick Overview of our deployment Going from Original project to replication Measuring Project implementation & success Managing Project Pipeline
  • 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.
  • 6. Performance Excellence Performance Excellence New way to evaluate & improve processes, removing waste and defects Ability to take new “methods” and implement throughout company
  • 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
  • 16. Performance Excellence Who Replicates? PEx Replication Leaders JDI – Location Management Specialists 16
  • 19. Performance Excellence Sustainability Weekly calls helps to identify problems & “Golden Nuggets” One page monthly report review Monthly Area by Area Scorecard review Finance updates Actual results monthly Monthly Business Metrics Review 19
  • 20. Performance Excellence How do we track & measure? Power Projects “One Pagers” Score Card Minitab Statistical Testing 20
  • 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
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  • 27. Performance Excellence Business Metrics Statistical Review using Minitab Comparing:  Run v Non Run Locations  Pre Run v Post Run Ensures project success and sustainability beyond financials 27
  • 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
  • 30. Performance Excellence The Path to Replication Managing the Pipeline of Projects
  • 31. Performance Excellence Manage the replication schedule
  • 32. Performance Excellence Manage the New Project Pipeline
  • 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
  • 34. Performance Excellence Key Components Communication Accountability Tracking System Measurement Reporting Financial Manage Project Pipeline 34
  • 35. Performance Excellence 35 Thank You Joe Hulseman Avis Budget Group Joseph.Hulseman@AvisBudget.com
  • 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