Earned Schedule Training
Earned Schedule Training Earned Schedule Training
Outcome Prediction • Using the results … • Determine Confidence Limits for the Performance Window – e.g., 95% confidence ….that is, the high and low expectations for performance • Calculate Probability of Success for both Cost & Schedule separately EVA-11 Jun 12-17, 17, 2006 Copyright 2006 Lipke & Henderson 128
Summary - Advanced EVA-11 Jun 12-17, 17, 2006 Copyright 2006 Lipke & Henderson 129
- 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 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: Outcome Prediction • Apply SPC to
- 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
Outcome Prediction<br />
• Using the results …<br />
• Determine Confidence Limits for the<br />
Performance Window – e.g., 95% confidence<br />
….that is, the high and low expectations for<br />
performance<br />
• Calculate Probability of Success for both Cost<br />
& <strong>Schedule</strong> separately<br />
EVA-11<br />
Jun 12-17, 17, 2006<br />
Copyright 2006<br />
Lipke & Henderson 128
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