Earned Schedule Training
Earned Schedule Training Earned Schedule Training
Schedule Adherence • Schedule Adherence measure is used to enhance the EVM measures • Early warning for later cost and schedule problems • Proposed Measure: In accordance with the project plan, determine the tasks which should be completed or started for the duration associated with ES. Compare the associated PV with the EV of the tasks which directly correspond. Calculate the ratio: P = Tasks (perf - corr) / Tasks (plan) = Σ EVj (corresponding) / Σ PVj (plan) where Σ EVj ≤ Σ PVj & Σ PVj = EV EVA-11 Jun 12-17, 17, 2006 Copyright 2006 Lipke & Henderson 104
Schedule Adherence • Characteristics of the P measure • P measure cannot exceed 1.0 0 ≤ P ≤ 1.0 • At project completion P = 1.0 • P is likely unstable until project is 20% complete {similar to the behavior of CPI} • The behavior of P may explain Dr. Christensen’s findings for CPI & IEAC • P used to compute effective earned value {EV(e)} EVA-11 Jun 12-17, 17, 2006 Copyright 2006 Lipke & Henderson 105
- 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 65 and 66: BREAK - 15 Minutes EVA-11 Jun 12-17
- 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 95 and 96: BREAK - 15 Minutes EVA-11 Jun 12-17
- 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: Schedule Adherence • Result from
- 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
<strong>Schedule</strong> Adherence<br />
• Characteristics of the P measure<br />
• P measure cannot exceed 1.0<br />
0 ≤ P ≤ 1.0<br />
• At project completion P = 1.0<br />
• P is likely unstable until project is 20% complete<br />
{similar to the behavior of CPI}<br />
• The behavior of P may explain Dr. Christensen’s<br />
findings for CPI & IEAC<br />
• P used to compute effective earned value {EV(e)}<br />
EVA-11<br />
Jun 12-17, 17, 2006<br />
Copyright 2006<br />
Lipke & Henderson 105
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