Earned Schedule Training

More documents

Recommendations

Info

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-
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 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
show all

Earned Schedule Training

Create successful ePaper yourself

Delete template?

Save as template?