Earned Schedule Training
Earned Schedule Training Earned Schedule Training
IEAC(t) Predictions using ES Techniques: • ES formulae and results are algebraically correct “Whilst assessments of the predictive utility of the ES calculated IEAC(t) and the relative merits of using the various performance factors available are matters for further research and empiric validation, the theoretical integrity of ES now seems confirmed.” - Kym Henderson There IS a better method! EVA-11 Jun 12-17, 17, 2006 Copyright 2006 Lipke & Henderson 38
2 My Experience Summarised • Schedule Performance Indicators (for early and late finish projects): • SPI(t) & SV(t) do portray the real schedule performance in agreement with [1] [2] • Forecasting Duration (for early and late finish projects): • at early & middle project stage: pre-ES & ES forecasts produce similar results • at late project stage: ES forecasts outperform all pre-ES forecasts in agreement with [2] [3] • Assessing Project Duration (for early and late finish projects): • the use of the SPI(t) in conjunction with the TCSPI(t) has been demonstrated to be useful to manage the schedule expectations application of [3] [1] Lipke Walt, Schedule is Different, The Measurable News, Summer 2003 [2] Henderson Kym, Earned Schedule: A Breakthrough Extension to Earned Value Theory? ? A Retrospective Analysis of Real Project Data,The Measurable News, Summer 2003 [3] Henderson, Kym, Further Development in Earned Schedule,The Measurable News, Spring 2004 IIPMC 2005 Fall Conference Rev.2 π Stephan Vandevoorde
- 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: IECD Predictions using ES Technique
- Page 41 and 42: Earned Schedule Calculator Earned S
- Page 43 and 44: Interpolation Error EVA-11 Jun 12-1
- Page 45 and 46: Interpolation Error $$ ES(calc) BCW
- Page 47 and 48: Interpolation Error • After a few
- 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 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
IEAC(t) Predictions using<br />
ES Techniques:<br />
• ES formulae and results are algebraically correct<br />
“Whilst assessments of the predictive utility of the ES<br />
calculated IEAC(t) and the relative merits of using the<br />
various performance factors available are matters for<br />
further research and empiric validation, the<br />
theoretical integrity of ES now seems confirmed.”<br />
- Kym Henderson<br />
There IS a<br />
better<br />
method!<br />
EVA-11<br />
Jun 12-17, 17, 2006<br />
Copyright 2006<br />
Lipke & Henderson 38
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