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Cost Risk Analysis: Back Allocation Among the Elements

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Cost Risk Analysis: Back Allocation Among the Elements. Presented by. Marc Rose, MCR Federal, LLC. mrose_at_mcri.com. SCEA National Conference. Manhattan Beach, CA ... – PowerPoint PPT presentation

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Title: Cost Risk Analysis: Back Allocation Among the Elements


1
Cost Risk AnalysisBack Allocation Among the
Elements
  • Presented by
  • Marc Rose, MCR Federal, LLC
  • mrose_at_mcri.com

SCEA National Conference Manhattan Beach, CA 15
June, 2004 Developed under the FAA SETA II
Contract
2
Agenda
  • Overview
  • Brief description of Cost Risk Analysis
  • Various Allocation Methods
  • Why Worry About Allocation?
  • Proposed Methodology
  • Conclusions

3
Overview
  • What is Cost Risk Analysis
  • Sum of cost elements (Ci) each with an associated
    probability distribution
  • C1 Triangular Distribution
  • C2 Normal Distribution
  • Cost C1C2
  • Determine High Confidence Cost (e.g., 80th
    Percentile) usually via Monte-Carlo simulation
    (e.g., Crystal Ball )
  • Then Allocate the Risk dollars among the
    elements

4
Various Allocation Methods
  • First Order Methods Scaling with
  • Mode or Point Estimate (most common)
  • Mean, Median
  • Second Order Methods
  • Mean Standard Deviation
  • Mean Variance
  • 80th Percentile Point Estimate
  • Proposed Methodology
  • Median with High Confidence Value (e.g., 80th)

5
Allocating Risk DollarsWhy Do We Care an
example
  • Example 2 Elements with triangular
    distributions
  • Capital (10, 20, 100)
  • Operations (10, 20, 30)

6
Why We Care Continued
  • Solving for the High Confidence Value
  • High Confidence (80th) Cost 83.0
  • Apply Mode (Most Likely) Scaling
  • Capital 41.5, Ops 41.5
  • Operations is given more than it can spend
  • Result is outside the distribution range
    (non-viable)
  • Capital has only a 50 chance of success

7
Proposed Methodology- (Median_P)
  • Use the selected confidence level with the
    median
  • From the previous example using the 80th
    percentile
  • Operations 20(23.675-20)/(3.67522.05)(83-60)
    23.3
  • Capital 40(62.05-40)/(3.67522.05)(83-60)
    59.7
  • This corresponds to a 77.5 probability of
    success for each element and an overall
    confidence of 80

Scale with median directly if 50 is chosen
confidence level
8
Risk Allocation Summary
  • There is no correct allocation
  • This is a statistical process, it is not possible
    to know which elements will go well, which bad
  • Often additional information will result in
    modifications (e.g., knowledge of the budget)
  • There are incorrect allocations
  • Allocations with results outside of the viable
    range of values

9
Risk Allocation Summary
  • The Median_P methodology is guaranteed to produce
    viable results
  • Has to fall between the selected confidence level
    and the median
  • Results are consistently close to providing the
    same probability of success among the cost
    elements
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