earned schedule_compared evm

7/31/2019 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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earned schedule_compared evm

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