Earned Schedule Training

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SPI Comparison 1.12 1.10 Early Finish Project 1.08 1.06 1.04 1.02 1.00 0.98 SPI($) SPI(t) J F M A M J J A S O N D J F M 1.30 1.20 Late Finish Project 1.10 1.00 0.90 0.80 0.70 J F M A M J J A S O N D J F M EVA-11 Jun 12-17, 17, 2006 Copyright 2006 Lipke & Henderson 20
<strong>Earned</strong> <strong>Schedule</strong> Predictors • Can the project be completed as planned? • TSPI = Plan Remaining / Time Remaining = (PD – ES) / (PD – AT) where (PD – ES) = PDWR PDWR = Planned Duration for Work Remaining • TSPI = (PD – ES) / (ED – AT) where ED = Estimated Duration EVA-11 Jun 12-17, 17, 2006 TSPI Value ≤ 1.00 > 1.10 Predicted Outcome Achievable Not Achievable Copyright 2006 Lipke & Henderson 21
Page 1 and 2: Earned Schedule Training Instructor
Page 3 and 4: Earned Schedule Training Basic •
Page 5 and 6: Earned Schedule Training Advanced
Page 7 and 8: Earned Schedule Training • Statis
Page 9 and 10: Earned Value Management Schedule In
Page 11 and 12: EVM Schedule Indicators • SV & SP
Page 13 and 14: Introduction to Earned Schedule EVA
Page 15 and 16: Earned Schedule Metrics • Require
Page 17 and 18: Earned Schedule Indicators • Sche
Page 19: SV Comparison 100 80 Early Finish P
Page 23 and 24: Earned Schedule Terminology Status
Page 25 and 26: Earned Schedule Key Points • ES I
Page 27 and 28: ES Applied to Real Project Data: La
Page 29 and 30: Early Finish Project: SV($) 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 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-
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Earned Schedule - Re-Baseline Examp
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Critical Path Study EVA-11 Jun 12-1
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EVA-11 Jun 12-17, 17, 2006 The Sche
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To further compound schedule comple
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Case Study Project • Commercial s
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Schedule Management • Weekly sche
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• Initial expectation EVA-11 Jun
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The IECD vs Critical Path Predictor
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Questions of Scale • We know that
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Final Thoughts • ES is expected b
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Schedule Analysis with EVM? • The
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Earned Schedule Bridges EVM to “R
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BREAK - 15 Minutes EVA-11 Jun 12-17
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Earned Value Research • Most rese
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EVA-11 Jun 12-17, 17, 2006 Discussi
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Schedule Adherence EVA-11 Jun 12-17
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Schedule Adherence • Result from
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Schedule Adherence • Characterist
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Effective Earned Value Effective EV
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Effective EV Relationships • Rewo
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Effective Earned Value • Effectiv
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Graphs of CPI & SPI(t) with the P -
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Forecasting with Effective Earned V
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EVA-11 Jun 12-17, 17, 2006 Summary:
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Statistical Prediction • Statisti
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Statistical Process Control • SPC
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Planning for Risk • Risk mitigati
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Performance Indication & Analysis
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Outcome Prediction • Apply SPC to
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Summary - Advanced EVA-11 Jun 12-17
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Summary - Advanced • ES connects
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Question #1 • What is the problem
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Question #3 • What elements are r
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Question #5 • The equation for Ea
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Question #7 • Earned Schedule can
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Question #9 • What does the P-Fac
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Wrap-Up EVA-11 Jun 12-17, 17, 2006
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Wrap Up • Schedule prediction - m
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Contact Information Walt Lipke Kym
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Earned Schedule Training

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