The Association of Cost Engineers
ACOSTE CONFERENCE 2011
50th Anniversary
www.acoste.org
Integrated Cost and Schedule Risk Analysis
Graham Gilmer
Booz Allen Hamilton (USA)
Booz | Allen | Hamilton
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Integrated Cost and Schedule Risk Analysis (ICSRA)
Outline
• Integration of Cost, Schedule, and Risk Management Activities
• NASA’s Approach to Integrating Cost and Schedule Risk
• What Goes Into ICSRA?
• Questions Addressed by ICSRA
• Analytical Program Management (APM) Modeling
• Insights Provided by APM Modeling
• Demonstration of APM Modeling
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Cost, Schedule and Risk Activities Are Rarely Integrated on Programs
Cost, schedule, and risk management activities are not typically integrated on programs;
oftentimes these teams have little interaction outside of program reviews
This lack of integration has tangible consequences
– When cost growth is identified, it almost always implies schedule growth
– When the schedule growth is identified, it almost always implies cost growth
– When risks are identified, they almost always imply both cost and schedule growth
– The program manager’s ability to mitigate cost and schedule growth is lessened when these functions aren’t integrated
The lack of standard methodologies and tools for producing integrated artifacts has been a
consistent roadblock for integration
Integrated Cost and Schedule Risk Analysis provides a framework for integrating cost,
schedule and risk using existing artifacts to produce a cohesive analysis
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What is Integrated Cost and Schedule Risk Analysis?
NASA’s Definition: Integrated Cost and Schedule Risk Analysis generates a joint bivariate
probability distribution relating cost and schedule in a way that allows the analyst to
determine the confidence level for meeting both target budgets and schedules
simultaneously
Traditional cost or schedule risk analysis generates a
distribution of potential final costs and durations from which
confidence levels for budgets and schedules can be derived
– Confidence levels are generated and reported separately
Integrated Cost and Schedule Risk Analysis creates a
bivariate distribution of final cost and schedule pairs
– The confidence level of any cost and schedule pair represents the probability of the program finishing both under cost and ahead of schedule
– These are known as Joint Confidence Levels
Cost
Pro
ba
bil
ity
70% Joint Confidence
Level Curve
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James Webb Space Telescope (JWST)
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Stratospheric Observatory for Infrared Astronomy (SOFIA)
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Next Generation Human Exploration
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NASA’s ICSRA Policy
Integrated Cost and Schedule Risk Analysis has gained significant momentum recently
– NASA is leading the way in the development of this methodology
– NASA Policy Directive 1000.5 mandates that programs will be baselined at the “70 percent confidence level” using a “joint cost and schedule probability distribution”1
– The goal is to provide stronger assurance that NASA can meet cost and schedule targets2
– A recent GAO report cites NASA’s policy as an effort “to provide transparency on the effects of funding changes on the probability of meeting cost and schedule commitments” 3
– NASA Cost Analysis Division (CAD) has developed a handbook to provide more information and guidance on this topic
– Programs conducting this analysis include James Webb Space Telescope and SOFIA
While the methodology has made substantial strides, the cost and schedule communities must
overcome political and technical obstacles before full adoption
1 – NPD 1000.5 - http://www.hq.nasa.gov/office/codeq/doctree/10005.htm - January 15, 2009 2 – JCL Status Report - http://www.nasa.gov/pdf/421542main_JCL%20Status%20Report-2010%20Feb.pdf – February 2010 3 – GAO Report – “NASA – Assessments of Selected Large-Scale Projects” - http://www.gao.gov/new.items/d11239sp.pdf - March 2011
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Risk
Cost/EVM
Schedule
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What Goes Into ICSRA?
ICSRA is performed by existing program staff
using the following artifacts:
– The program schedule (Integrated Master
Schedule (IMS) or higher-level schedule)
with uncertainty bounds on task durations
• Uncertainty bounds can be applied at the parent or child level and informed by Earned Value Management (EVM) data
– The cost estimate with uncertainty bounds
that map to the schedule at any level
• Uncertainty bounds informed by EVM data
– The quantified risk register (probabilities,
cost and schedule impacts) where each
risk is mapped to a task in the IMS
Analytical Program Management
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Questions Addressed by ICSRA
What risks have the greatest effect on my cost and schedule?
– What are the primary, secondary, tertiary… impacts of these risks?
– What is my optimal mitigation strategy and how much will it decrease my cost and schedule risk?
How will schedule growth impact my costs? How will cost growth impact my schedule?
– What are my potential critical paths?
– How can I manage the cost impacts of change orders on contracts/subcontracts?
How much management reserve do I need, where do I need it, and in what years?
How can I best manage my portfolio of programs? Which combination has the best chance
of providing maximum capability on time and on cost?
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Analytical Program Management (APM) Modeling
Booz Allen has collaborated with NASA to build a standardized process and model for ICSRA
– The result is an Adobe Flex-based decision tool called “DICE”, which integrates cost, schedule and risk artifacts
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APM Provides Unparalleled Insight Into the Relationships
Between Cost, Schedule and Risk
APM provides a range of potential cost and
schedule outcomes (including costs by FY)
Allows Program Managers to set reserves
based on confidence levels
– Dept. of Defense / Intelligence Community /
NASA requirement
Details relationship between cost and schedule
– Reveals the range of potential costs for any schedule outcome and vice versa
All analysis is provided at every level of cost and
schedule
APM’s standardized outputs allows combination
of multiple programs into a portfolio-based
analysis
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APM Provides Actionable Analysis Used to Prevent Cost and
Schedule Growth
Most risk management methods use a simple “likelihood x impact” metric to rank risks
– This ignores downstream risk effects
APM shows the impact of each task
and risk on cost and schedule
– …including secondary and tertiary risk impacts
– E.g. risks creating a new critical path or causing standing-army cost impacts elsewhere in the schedule
APM also details a probabilistic critical
path
– Calculates the probability that each task ends up on the critical path
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Additional Benefits of APM Modeling
Demonstrates the secondary/tertiary effects of risks through integration with the cost/schedule
estimate
– Ensures comprehensiveness of risk register and improves mitigation plans
– Mitigates cost growth from change orders or subcontracts
Improves the quality of program artifacts (schedule, cost estimate, risk register)
– Flexing the schedule in APM reveals inherent weaknesses not uncovered by traditional schedule health check tools
– Linking cost estimates to the schedule increases their accuracy and precision
Opens lines of communication between cost, schedule and risk staff
– Producing integrated artifacts requires teams to work together and fosters relationships
Includes templates and export functions for performing APM using artifacts that should
already exist for the program
– If artifacts don’t already exist, APM acts as a catalyst for their creation
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Demonstration of APM Modeling
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Thanks
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The Association of Cost Engineers Booz | Allen | Hamilton
Booz | Allen | Hamilton
Graham Gilmer Lead Associate
Booz Allen Hamilton Inc.
Arlington, VA
Tel (703) 526-2413
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