earned schedule_compared evm
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Brussels,BostonUniversity,23/06/09
APracticalA roach
PMI BelgiumPMI Belgium
Stephan Vandevoorde, Ing.Stephan Vandevoorde, Ing.Manager LT BEManager LT BE
Stephan Vandevoorde, Ing.Stephan Vandevoorde, Ing.Director of Programs & EventsDirector of Programs & Events
[email protected]@fabricom--gti.comgti.com
+ 32 (0) 478 254761+ 32 (0) 478 254761
[email protected]@pmi--belgium.bebelgium.be
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IntroductiontoEarnedValue
ApplyingEarnedValueManagement
Experiences
Specialtopic:EarnedSchedule
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PMIPracticeStandardforEarnedValueManagement,2005
Schedule
Variance
=
SV
=
EV
PV
0
=
aheadSchedulePerformanceIndex=SPI=EV/PV 1=aheadVARIANCE
ANALYSIS
FORECASTTimeEstimateatCompletion=EACt=PD/SPI
PD=PlannedDuration
PMBOKGuide,FourthEdition
ScheduleVariance=SV=EV PV 0=aheadVARIANCE
FORECAST
c e u e
er ormance
n ex
=
=
=
a eaAppliedontothecriticalpathANALYSIS
???
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ScheduleVariance
SV=EV PV
1 ahead
Bydefinition
at
end
of
project
:
EV=totalPV(BAC)
ThusSV=PV PV=0
Showsperfectperformance!!!
Whatifwearelate?
EV=totalPV(BAC)
ThusSPI=PV/PV=1
Showsperfectperformance!!!
Whatifwearelate?
SVisespressedinEuros
Difficulttounderstand
SPIisdimensionless
Easiertounderstand
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0
Sep/03 Nov/03 Jan/04 Mar/04 May/04 Jul/04
300
200
SV
StartingMei/04:
600
500
400positivetrend
forSV&SPI
butweare
0.90
0.95
1.00 slippingfurther
Somethingis
wrong
0.75
0.80
0.85
SPI
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0.70
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PMI Practice Standard for Earned Value Management
Box 3-1:
Time-Based Schedule Measures
An Emerging EVM Practice
called Earned Schedule
Provides foundation for further development
of and research intended to result in Earned
Schedule acceptance as a valid extension to
EV
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Created by Walt Lipke, Schedule is Different, The Measurable News, Summer 2003
SV
EV
time
AD PD
ES SV(t)
=
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AD
=
actual
durationontime 0=ahead
ExpressedintimeunitsVARIANCE
ANALYSIS
SchedulePerformanceIndex Time=SPI(t)=ES/AD
1=ahead
FORECAST TimeEstimateatCompletion=EACt=PD/SPI(t)
ToCompletePerformanceIndexTime
REALISM TSPI(t)=
(PD
ES
)/(PD
AD
)iftarget
=PD
TSPI(t)= (PD ES)/(LRD AD)iftargetisLatestRevisedDuration
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0.0000
1.000
0.500
200
100
1.500
300
SV
SV(t)
2.500
.
400
3.500
3.000
600
500
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1.000
0.900
.
0.800
.
SPI(t)
SPI
0.700
.
0.600
0.650
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14
10
12
6
8 AD
ES
PDPD/SPI
2
4 PD/SPI(t)
0
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1.3
1.4
1.1
1.2
0.8
0.9SPI(t)
TCSPI(t)
TCSPI(t)
11
0.5
0.6
0.7 TCSPI(t) 12
0.4
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Emperical evidence:
Vandevoorde St., Vanhoucke M.,International Journal of Project Management, May 2006
A Com arison of different ro ect duration forecastin methods usin
earned value metrics
State of the Art Report on Forecasting Duration Methods
Earned Schedule provide schedule metrics which behave correctly during the
Earned Schedule forecasting is more reliable, and usefull to sanity checkschedule expectations
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Academical Research:
Funded by PMI Belgium & FWO, Vlaanderen
Vanhoucke M., Vandevoorde St.,
Journal of the Operational Research Society, October 2007
A simulation and evaluation of earned value metrics to forecast the
project duration
IPMA Research Award 22nd World Congress Rome
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A Belgian Research Effort
Book comin out soon
EV/ES software package
www.protrack.be
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Free Info, downloads, templates: www.earnedschedule.com
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