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Hitting the Target
Cost and Schedule Navigation Techniques

            Robert Hanna
Agenda

How does Deep Space Navigation work?

What is so difficult about cost and schedule
monitor and control?

Applying navigation techniques to cost and
schedule analysis
Navigation Basics
Navigation Basics
Choosing a Target
Probabilistic Analysis is
done for a planet body
surface (contour plots)

Target A: Probability of
a safe landing is 40%

Target B: Probability of
a safe landing is 60%

Target C: Probability of
a safe landing is 85%
Multiple Observations Reduce Uncertainty
A Bias

Observations may be offset by contributing
factors

Station locations, measurement techniques
and environment can all contribute

A bias accounts for the constant error
introduced
Stochastic Parameters

Some aspects change over time

  specific events

  specific conditions

A parameter can respond to changes over
time and environment
The Challenge
Project Budgets

Budgets are determined before the
complexity of the work is discovered

Project cost estimates are created to meet a
single, inflexible value

In negotiations, lower budgets are accepted
without changes in scope
Project Progress


Schedule milestones are inflexible

Changing implementation approaches change
task definitions

Estimates carry a lot of uncertainty
What can go wrong
Take an example:

  A project has to complete 100 tasks

  Estimates are off by 20%

  Resource allocations are off by 15%

  Financial Reporting is off by 5%

  Progress measures are off by 30%

Impact: Total Errors could be over 50%!
Applying Navigation Techniques to
 Cost and Schedule Monitor and
             Control
Understanding
                  Uncertainty
          Distributions not Delta Functions
 Likelihood
                   One value,                 Most Likely
100%
                many assumptions

                              Best Case
                                                            Worst Case



                                                                   Cost
              $12M            $10M         $12M            $14M
                                     (Three Point Estimation)
How Does the
            Negotiation go?
        Sponsor              Project Manager

    What is your cost            $90 Million
       estimate?

 Will it fit under a $80      Sure, we crashed it
  million dollar cap?        down to $75 Million

Oh yeah? Can you do the      Yeah, we scoured it
 job for $10 million less?   down to $65 Million
How Should the
           Negotiation go?
        Sponsor                 Project Manager

    What is your cost        At $90 Million, we are 80%
       estimate?              confident of cost success

 Will it fit under a $80      At $75 Million, we have a
  million dollar cap?             65% confidence

Oh yeah? Can you do the      Sure, but at $65 Million we
 job for $10 million less?     are only 50% confident
Estimator Bias

Estimates are like Observations

People are always wrong, but they are
consistently in how they are wrong

Multiple Observations lead to greater
accuracy
Estimator Bias
Apply the Bias to future estimates by estimator
Systemic Bias - Resources
  Resource Availability versus Commitments

  Apply the Bias to future allocations
Systemic Bias - Financial
  Contractor Performance (bids versus actuals
  by vendor)

  Financial Reporting Systems

    Example: Costs were planned for a task
    using the average rate for a senior
    engineer pay grade

    The complexity of the task called for the
    most skilled senior engineers near the top
    of the pay grade biasing costs upwards
Performance Bias
      Task performance reporting has a bias that
      changes over time

      90% complete disease


Reported 0%      50%         90%                   100%


  Actual 0%      25%         50%      75%          100%
Performance Bias
    Weighted Milestone Approach

    Acts like a stochastic parameter

25% at start             75% at the first
 of the task           report of completion



               50% when the task     100% at verification
               is well understood       of completion
Earned Value Analysis
Garbage In = Garbage Out

Use biased estimates for BCWS

Apply biased performance measures for BCWP

Understand financial biases for ACWP
Summary
Use Distributions

Understand and apply biases in all areas of
the project

Immediate, accurate ETC and EAC
calculations

Fast response to funding changes

Higher probability of completing on budget

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Hanna

  • 1. Hitting the Target Cost and Schedule Navigation Techniques Robert Hanna
  • 2. Agenda How does Deep Space Navigation work? What is so difficult about cost and schedule monitor and control? Applying navigation techniques to cost and schedule analysis
  • 5. Choosing a Target Probabilistic Analysis is done for a planet body surface (contour plots) Target A: Probability of a safe landing is 40% Target B: Probability of a safe landing is 60% Target C: Probability of a safe landing is 85%
  • 7. A Bias Observations may be offset by contributing factors Station locations, measurement techniques and environment can all contribute A bias accounts for the constant error introduced
  • 8. Stochastic Parameters Some aspects change over time specific events specific conditions A parameter can respond to changes over time and environment
  • 10. Project Budgets Budgets are determined before the complexity of the work is discovered Project cost estimates are created to meet a single, inflexible value In negotiations, lower budgets are accepted without changes in scope
  • 11. Project Progress Schedule milestones are inflexible Changing implementation approaches change task definitions Estimates carry a lot of uncertainty
  • 12. What can go wrong Take an example: A project has to complete 100 tasks Estimates are off by 20% Resource allocations are off by 15% Financial Reporting is off by 5% Progress measures are off by 30% Impact: Total Errors could be over 50%!
  • 13. Applying Navigation Techniques to Cost and Schedule Monitor and Control
  • 14. Understanding Uncertainty Distributions not Delta Functions Likelihood One value, Most Likely 100% many assumptions Best Case Worst Case Cost $12M $10M $12M $14M (Three Point Estimation)
  • 15. How Does the Negotiation go? Sponsor Project Manager What is your cost $90 Million estimate? Will it fit under a $80 Sure, we crashed it million dollar cap? down to $75 Million Oh yeah? Can you do the Yeah, we scoured it job for $10 million less? down to $65 Million
  • 16. How Should the Negotiation go? Sponsor Project Manager What is your cost At $90 Million, we are 80% estimate? confident of cost success Will it fit under a $80 At $75 Million, we have a million dollar cap? 65% confidence Oh yeah? Can you do the Sure, but at $65 Million we job for $10 million less? are only 50% confident
  • 17. Estimator Bias Estimates are like Observations People are always wrong, but they are consistently in how they are wrong Multiple Observations lead to greater accuracy
  • 18. Estimator Bias Apply the Bias to future estimates by estimator
  • 19. Systemic Bias - Resources Resource Availability versus Commitments Apply the Bias to future allocations
  • 20. Systemic Bias - Financial Contractor Performance (bids versus actuals by vendor) Financial Reporting Systems Example: Costs were planned for a task using the average rate for a senior engineer pay grade The complexity of the task called for the most skilled senior engineers near the top of the pay grade biasing costs upwards
  • 21. Performance Bias Task performance reporting has a bias that changes over time 90% complete disease Reported 0% 50% 90% 100% Actual 0% 25% 50% 75% 100%
  • 22. Performance Bias Weighted Milestone Approach Acts like a stochastic parameter 25% at start 75% at the first of the task report of completion 50% when the task 100% at verification is well understood of completion
  • 23. Earned Value Analysis Garbage In = Garbage Out Use biased estimates for BCWS Apply biased performance measures for BCWP Understand financial biases for ACWP
  • 24. Summary Use Distributions Understand and apply biases in all areas of the project Immediate, accurate ETC and EAC calculations Fast response to funding changes Higher probability of completing on budget