Earned Schedule Training

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Interpolation Error $$ BCWS C BCWP May EVA-11 Jun 12-17, 17, 2006 BCWS C+1 • F I • • δ June Time • ES(calc) error ES (C) (C + 1) July ES = Number of whole months (C) + Increment on curve (F) = C + F ES(calc) = C + calculated increment (I) Error (δ)( ) = I - F % error = | δ | C + F Example = .05 / 8.12 = 0.6% As C ⇒ larger - % error ⇒ smaller - ES(calc) ⇒ more accurate Weekly EV make ES more accurate Copyright 2006 Lipke & Henderson 46
Interpolation Error • After a few months of status (C > 4) - interpolation error is negligible (≤( 3%) • What about central portion of PMB, where S-Curve is steepest? Is error greater? • Where slope is large, the resolution of the interpolation is maximized • Curvature of PMB is minimized • Interpolation error is negligible EVA-11 Jun 12-17, 17, 2006 Copyright 2006 Lipke & Henderson 47
Page 1 and 2: Earned Schedule Training Instructor
Page 3 and 4: Earned Schedule Training Basic •
Page 5 and 6: Earned Schedule Training Advanced
Page 7 and 8: Earned Schedule Training • Statis
Page 9 and 10: Earned Value Management Schedule In
Page 11 and 12: EVM Schedule Indicators • SV & SP
Page 13 and 14: Introduction to Earned Schedule EVA
Page 15 and 16: Earned Schedule Metrics • Require
Page 17 and 18: Earned Schedule Indicators • Sche
Page 19 and 20: SV Comparison 100 80 Early Finish P
Page 21 and 22: Earned Schedule Predictors • Can
Page 23 and 24: Earned Schedule Terminology Status
Page 25 and 26: Earned Schedule Key Points • ES I
Page 27 and 28: ES Applied to Real Project Data: La
Page 29 and 30: Early Finish Project: SV($) and SV(
Page 31 and 32: Prediction Comparisons EVA-11 Jun 1
Page 33 and 34: IEAC(t) Prediction Comparison Early
Page 35 and 36: EVA-11 Jun 12-17, 17, 2006 IEAC(t)
Page 37 and 38: IECD Predictions using ES Technique
Page 39 and 40: 2 My Experience Summarised • Sche
Page 41 and 42: Earned Schedule Calculator Earned S
Page 43 and 44: Interpolation Error EVA-11 Jun 12-1
Page 45: Interpolation Error $$ ES(calc) BCW
Page 49 and 50: BREAK - 15 Minutes EVA-11 Jun 12-17
Page 51 and 52: Exercise # 1 • Complete Early & L
Page 53 and 54: ES Exercise - Worksheet Year 01 Yea
Page 55 and 56: ES Exercise - Answers Year 01 Year
Page 57 and 58: Early Adopters • EVM Instructors
Page 59 and 60: Available Resources • PMI-Sydney
Page 61 and 62: 0,10 0,05 0,00 -0,05 -0,10 -0,15 -0
Page 63 and 64: Summary - Basic • Derived from EV
Page 67 and 68: Analysis Tool Demonstration EVA-11
Page 69 and 70: ES and Re-Baselining EVA-11 Jun 12-
Page 71 and 72: Earned Schedule - Re-Baseline Examp
Page 73 and 74: Critical Path Study EVA-11 Jun 12-1
Page 75 and 76: EVA-11 Jun 12-17, 17, 2006 The Sche
Page 77 and 78: To further compound schedule comple
Page 79 and 80: Case Study Project • Commercial s
Page 81 and 82: Schedule Management • Weekly sche
Page 83 and 84: • Initial expectation EVA-11 Jun
Page 85 and 86: The IECD vs Critical Path Predictor
Page 87 and 88: Questions of Scale • We know that
Page 89 and 90: Final Thoughts • ES is expected b
Page 91 and 92: Schedule Analysis with EVM? • The
Page 93 and 94: Earned Schedule Bridges EVM to “R
Page 97 and 98:
Earned Value Research • Most rese
Page 99 and 100:
EVA-11 Jun 12-17, 17, 2006 Discussi
Page 101 and 102:
Schedule Adherence EVA-11 Jun 12-17
Page 103 and 104:
Schedule Adherence • Result from
Page 105 and 106:
Schedule Adherence • Characterist
Page 107 and 108:
Effective Earned Value Effective EV
Page 109 and 110:
Effective EV Relationships • Rewo
Page 111 and 112:
Effective Earned Value • Effectiv
Page 113 and 114:
Graphs of CPI & SPI(t) with the P -
Page 115 and 116:
Forecasting with Effective Earned V
Page 117 and 118:
EVA-11 Jun 12-17, 17, 2006 Summary:
Page 119 and 120:
Statistical Prediction • Statisti
Page 121 and 122:
Statistical Process Control • SPC
Page 123 and 124:
Planning for Risk • Risk mitigati
Page 125 and 126:
Performance Indication & Analysis
Page 127 and 128:
Outcome Prediction • Apply SPC to
Page 129 and 130:
Summary - Advanced EVA-11 Jun 12-17
Page 131 and 132:
Summary - Advanced • ES connects
Page 133 and 134:
Question #1 • What is the problem
Page 135 and 136:
Question #3 • What elements are r
Page 137 and 138:
Question #5 • The equation for Ea
Page 139 and 140:
Question #7 • Earned Schedule can
Page 141 and 142:
Question #9 • What does the P-Fac
Page 143 and 144:
Wrap-Up EVA-11 Jun 12-17, 17, 2006
Page 145 and 146:
Wrap Up • Schedule prediction - m
Page 147:
Contact Information Walt Lipke Kym
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