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Achieving Predictable Projects

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Title: Achieving Predictable Projects


1
Achieving Predictable Projects
In a World of Black Swan Risks
2
SESSION 9
Achieving Predictable Projects
In a World of Black Swan Risks
Gary Berman, PE, FCMAAPresident / CEOGREYHAWK
3
SESSION 9
Achieving Predictable Projects
In a World of Black Swan Risks
Paul McNuttManager, Project Risks
Reviews ConocoPhillips
4
SESSION 9
Achieving Predictable Projects
In a World of Black Swan Risks
TBDTBDTBD
5
Agenda
  • What risks are you including?
  • Risk Spectrum
  • Discussion
  • How do you assess and manage those risks?
  • Levels of Analysis
  • Risk Management Techniques
  • Discussion
  • How will you management risk in the future?
  • Discussion

6
How Deep is Your Risk Pond
7
A Spectrum of Risk
Tactical Quantity accuracy Labor
rates Productivity Weather Margin of error Design
allowance
Black Swan Market crash War Extreme
weather Major scope change
Future Foreign exchange Hyper-inflation Changing
regulation
Strategic Basis of design unc. Partner
alignment Permitting
8
Labor Availability
9
Design Allowance
10
Material Availability
11
Weather Delay
12
Scope Definition
13
Governance Model
14
Global Hyper-inflation
15
Geopolitcal
16
Considerations When Modeling Risk
  • Definition of risk in dollars or days
  • Frequency
  • Probability Rating Scale
  • Optimistic / Likely / Pessimistic
  • Combinations
  • Lone wolf or hunting in packs
  • Iterative Analysis to determine ranges
  • Determine cost effectiveness of risk mitigation

17
Risk Translated into Real Impact
18
Risk Spectrum
19
The Four Levels of Risk Assessment
  • Level 1 Sensitivity Analysis
  • Use of plus/minus percents to test a projects
    weaknesses
  • Generally uses symmetric ranges (e.g., 10 and
    -10)
  • Level 2 Three Point Ranging
  • Use of continuous distributions on cost estimate
    line items
  • Generally ignores dependency between similar
    items
  • Level 3 Three Point Ranging with Dependencies
  • Use of continuous distributions with correlation
  • Generally ignores risk events and schedule slips
  • Level 4 Full Cause and Effect Modeling
  • Use of three point ranges on cost estimate
    variables coupled with dependencies and risk
    events including a linked schedule risk

Ranges generated from Levels 1-3 are typically
narrow and unskewed Ranges generated from Level 4
are wider and skewed reflecting observed data
20
Any more comments or questions
Achieving Predictable Projects
In a World of Black Swan Risks
  • Gary Berman GREYHAWK
  • Paul McNutt ConocoPhillips
  • TBD TBD
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