Earned Schedule Training

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Application Problems • Distributions of periodic values of CPI & SPI(t) are right-skewed • Logarithms transform to Normal Distribution • Research indicates CPI tends to worsen as EV ⇒ BAC • Statistics application assumes lack of any tendency • Effective EV used to remove tendency EVA-11 Jun 12-17, 17, 2006 Copyright 2006 Lipke & Henderson 120
Statistical Process Control • SPC is a Quality method used to identify anomalous behavior of the process • For application to CPI and SPI(t), SPC is used to identify anomalous periodic performance • Clarifies “true” performance • Allows better analysis • Improves prediction EVA-11 Jun 12-17, 17, 2006 Copyright 2006 Lipke & Henderson 121
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Earned Schedule Training Instructor
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Earned Schedule Training Basic •
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Earned Schedule Training Advanced
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Earned Schedule Training • Statis
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Earned Value Management Schedule In
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EVM Schedule Indicators • SV & SP
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Introduction to Earned Schedule EVA
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Earned Schedule Metrics • Require
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Earned Schedule Indicators • Sche
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SV Comparison 100 80 Early Finish P
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Earned Schedule Predictors • Can
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Earned Schedule Terminology Status
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Earned Schedule Key Points • ES I
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ES Applied to Real Project Data: La
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Early Finish Project: SV($) and SV(
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Prediction Comparisons EVA-11 Jun 1
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IEAC(t) Prediction Comparison Early
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EVA-11 Jun 12-17, 17, 2006 IEAC(t)
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IECD Predictions using ES Technique
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2 My Experience Summarised • Sche
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Earned Schedule Calculator Earned S
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Interpolation Error EVA-11 Jun 12-1
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Interpolation Error $$ ES(calc) BCW
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Interpolation Error • After a few
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BREAK - 15 Minutes EVA-11 Jun 12-17
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Exercise # 1 • Complete Early & L
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ES Exercise - Worksheet Year 01 Yea
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ES Exercise - Answers Year 01 Year
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Early Adopters • EVM Instructors
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Available Resources • PMI-Sydney
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0,10 0,05 0,00 -0,05 -0,10 -0,15 -0
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Summary - Basic • Derived from EV
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BREAK - 15 Minutes EVA-11 Jun 12-17
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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 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: Statistical Prediction • Statisti
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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