The relatively new concept of #EarnedSchedule explained by Whizible PMP as a part of the #projectmanagementtraining series. Useful for #projectmanagers and PMO. Also useful for PMP exam as per PMBOK version 6

1. Shailesh Joshi, PMP

2.  Developed by Walt Lipke, 2003
 Included in PMI’s Practice Standard for EVM,
2011
 Included in PMI’s PMBOK (6th edition), 2017
 Extension to Earned Value Methodology (EVM)
 Uses EVM data such as PV & EV.

3.  Overcome known shortcomings of EVM
schedule indicators – SV & SPI.
◦ SV concludes at $0 variance and SPI at 1.00 at the
end of project, irrespective of whether the project
finished late or ahead of schedule.
 Better predictive ability than EVM schedule
indicators throughout the entire project life.
 Provide basis for performing schedule
analysis.

5.  To understand how to calculate ES, lets look at an
example. Here is some sample data showing
cumulative values of EV & PV in cost units.
 Graphically, ES can be computed by projecting EV
at status period onto PV curve and then taking X-
intercept of this projection, as shown before.
Period
(AT)
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
EVcum
95 180 470 770 1065 1315 1610 1900 2150 2275 2425 2555 2695 2770 2823
PVcum
105 200 515 845 1175 1475 1805 2135 2435 2665 2760 2823

6.  Stacked Bar method

7.  Time based Schedule Variance: SV(t)
◦ Behaves consistently throughout the project
-0.10
-0.21 -0.14
-0.23
-0.33
-0.53 -0.59
-0.71
-0.95
-1.53
-2.03
-2.48
-2.68
-2.84
-3.00
-3.50
-3.00
-2.50
-2.00
-1.50
-1.00
-0.50
0.00
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Schedule Variance SV(t) = ES-AT
Variance(weeks)

8.  Cost based Schedule Variance: SV
◦ Reverts to $0 at the end of project
-10
-20
-45
-75
-110
-160
-195
-235
-285
-390
-335
-268
-128
-53
0
-450
-400
-350
-300
-250
-200
-150
-100
-50
0
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Schedule Variance SV = EV-PV
Variance($)

9.  Time based Schedule Performance Index: SPI(t)
◦ Behaves consistently throughout the project
0.905
0.895
0.952
0.943
0.933
0.911 0.916 0.911
0.894
0.847
0.815
0.793 0.794 0.797 0.8
0.7
0.75
0.8
0.85
0.9
0.95
1
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Schedule Performance Index (time based)
SPI(t) = ES/AT

10.  Cost based Schedule Performance Index: SPI
◦ Reverts to 1.0 at the end of project
0.905 0.900
0.913 0.911 0.906
0.892 0.892 0.890 0.883
0.854
0.879
0.905
0.955
0.981
1.000
0.750
0.800
0.850
0.900
0.950
1.000
1.050
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Schedule Performance Index (Cost based)
SPI = EV/PV

11.  Time based Independent Estimate At Completion: IEAC(t)

12.  To complete Schedule Performance Index: TSPI
◦ Similar to cost based - To Complete Performance Index
(TCPI)
1.01 1.02 1.02 1.03 1.05 1.09 1.12 1.18
1.32
1.77
3.03
0.50
1.00
1.50
2.00
2.50
3.00
3.50
1 2 3 4 5 6 7 8 9 10 11
To complete Schedule Performance Index
TSPI = (PD-ES)/(PD-AT)

13.  E S is derived from existing E V M data
 Provides time-based schedule indicators
 E S Indicators do not fail for late finish
projects
 Schedule prediction is more accurate than
prediction by cost based schedule indicators.

14.  With Whizible’s upcoming EVM/ES Analytics Tool,
EVM data can be analyzed to get deeper insights into
the health of a project than traditional EVM analysis
 Whizible’s EVM/ES Analytics tool can be used at
project and/or task level where EVM data is available.
Summary data such as periodic & cumulative ES,
SV(t); indicators such as SPI(t) & TSPI; estimates like
IEAC & IECD, and charts are available to be made part
of periodic monitoring and reports.
 With these charts & indices, project managers can see
trends in the estimated completion date and cost,
and decide when re-baselining may be appropriate.

15.  Whizible is an integrated solution to manage
a projectized service business.
 To know more about Whizible, please
Visit: https://www.whizible.com/
Email: info@whizible.com