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RiskAoA

RiskAoA was developed by Air Force Research Laboratory (AFRL)[1] Headquarters to select between complicated or high value decisions when limited information is available. RiskAoA selects the best possible alternative within a trade-space of cost, project merit and risk.[2] The program was designed to comply with and enhance the Joint Capabilities Integration Development System "J-CIDS," Analysis of Alternatives process. RiskAoA is proprietary to the United States Government, but available to all government personnel from NAVSEA Headquarters, the office of PMS 407. RiskAoA is listed as a 'product support planning tool' on the Acquisition Community Connection, a Defense Acquisition University "knowledge share" site.[3] The commercially available version; Supervene, remains DoD compliant and features enhanced networking and trade-off analysis.


Risk Approaches[]

RiskAoA is one of the three prevalent risk management approaches, each is applied to scenarios with respective information fidelity: The CAP-M uses market statistics and assumptions to calculate investment risk and expected return on investment for stocks and securities. RiskAoA, applies a constrained model to select the best decisions from limited information, and the probabilistic risk assessment (PRA) method, which assigns a magnitude to individual risks in cost, schedule, performance and safety. Applied chronologically, CAP-M might determine that the market requires a new product or project, RiskAoA then determines the product or project most likely to succeed, and once decided on; the PRA method tracks day-to-day project risks until it is completed. RiskAoA minimizes project risk by selecting the best possible approach, before individual risks can be quantified.1

1 = "Risk" is the likelihood that a project will fail to meet its objectives, while 'a risk' is single action, event or hardware component that contributes to a project's "Risk."

Capabilities[]

RiskAoA was designed to use risk as a trade-space to make decisions between proposals and other alternatives; however, the algorithms are flexible, so that the program can be applied to a wide variety of decisions, choices, or other scenarios with many, possibly interacting, variables.[4]

Ease of use[]

RiskAoA is easy to use; requiring few administrative and qualitative entries to generate results: Documentation, naming of the study and alternatives, identifying the potential risks, and rating 2-4 impacts for each potential risk. These ratings are evaluated qualitatively as; High (H), Medium (M), Low (L), Negligible(N) or 0, and by a simple count of interacting systems. Optional fields are embedded in the program for annotation.

Intrinsic risk culture adjustment[]

Sufficient numbers of these semi-quantitative, and even emotive results, are intrinsically adjusted to the risk culture (see also Risk perception) of the evaluator(s), transforming qualitative assessments of risk into a single quantitative value akin to the cost estimates or the project schedules associated with each alternative.

Error cancellation[]

The nature of the RiskAoA approach causes input errors to cancel or be moderated. The tool was designed with the worst-case assumption that the inputs would be 50% accurate. If the certainty of the evaluations is better than 50%, the forecasting feature becomes dramatically more precise. In addition, random errors cancel, while risk aversion and bias are reduced mathematically.

Simple presentation[]

The results of RiskAoA are simple magnitudes. Larger numbers are more likely to incur risk than low numbers: Just as the cost of one proposal can be higher than another, or one schedule takes longer, so risk is prioritized with RiskAoA. The alternatives with the highest numbers has the least likelihood of success. Both ratios of results and numeric differences can be used to assess project trade-offs.

RiskAoA forecasting tool[]

Allows users to determine the confidence in the results, and determine how much information is required to complete the study. Results within the error margin are not distinguishable. For example, if the forecasting tool calculates a 90% accuracy, then results are indistinguishable if they fall within 10% of one another.

"Real World Normalization"[]

When a known study with well understood results is used as a baseline for the other proposals, the product is a true statement of probability, modified by the forecast accuracy.

These capabilities of RiskAoA are unprecedented; making it the most advanced alternatives management technology employed institutionally, and the first demonstrating the predictive character of the risk management discipline.[5]

Applications and examples[]

1. Making optimized business and operational decisions with limited information, such as scenarios requiring far future or long-term planning. This application provides a predictive ‘at-a-glance’ assessment of the number and magnitude of difficulties expected from different alternatives.
2. Provides easily reviewed documentation in support of defense or major acquisition decisions. RiskAoA aids in justifying risk vs. return propositions from proposals, as may be required by Milestone Decision Authorities (see Joint Requirements Oversight Council).
3. Provides the Risk Adjusted Life Cycle Costs (LCC) estimates required by the General Services Administration (GSA) for the Analysis of Alternatives.[6]
4. RiskAoA may be used aggressively to determine competitors or adversaries most probable courses of action.
5. Used "in reverse," to translate small amounts of accurate information into a rapid display of risk assessments, as if for program review.
6. Answers the question, "How do you know you made the right decision?" By tracking the progression of the project's risks so that discarded alternatives can be compared in hindsight.
7. To compare the evolving risk of a single project's subsystems during an acquisition. For example, in a jet fighter acquisition, the program manager may wish to know where the largest risk in the effort is, and hence where to focus his efforts, for example between:

  • Weapons systems
  • The electronic warfare suite
  • Propulsion
  • Command and control systems
  • RADAR systems
  • etc.

8. Use to evaluate hypothesis, courses of action or decisions with high uncertainty and/or many details.

History[]

RiskAoA algorithms were invented and developed by Gregory M. Tyler, and its user interface was developed by the MITRE Corporation. The prototype to RiskAoA was called "RiskHammer," and was approved by the US Air Force Electronic Systems Center-Acquisition Center of Excellence (ESC/ACE) in 2002.[7] (see Hanscom Air Force Base).[8] Since its first release, it has been validated by other United States Department of Defense (DoD) organizations: Air Force Material Command (AFMC)-Reporting Units; Validated, Verified and Accredited (VV&A) by AFRL[9] and reviewed by AFMC/EN. It is endorsed DoD-wide by the Office of the Under Secretary of Defense for Acquisition, Technology and Logistics[10]in 2007 and by the Defense Acquisition University for use in DoD Analysis of Alternatives acquisition process. It is also unique in being the only technology ever produced by AFRL Headquarters, and one of three Cyber-technologies produced for its Cyber-mission in 2006.[1]
It is currently being used by the Global University Alliance as framework to establish and define the ontology of risk management.[11]

See also[]

References[]

  1. 1.0 1.1 "Air Force Research Laboratory's 2006 Technology Milestones". February 2007. p. 49. http://www.dtic.mil/cgi-bin/GetTRDoc?AD=ADA463123&Location=U2&doc=GetTRDoc.pdf. Retrieved 7 August 2016. 
  2. Masquelier, Barbra (6 October 2006). "United States Transportation Command News Service (Oct. 6, 2006): Quantifying risk across the Department of Defense". St. Clair County, Illinois. 
  3. ACC. "Product Support Resources and Tools". Defense Acquisition University. https://acc.dau.mil/CommunityBrowser.aspx?id=497537. Retrieved 10 March 2016. 
  4. "AFRL Alternatives Planning Technology Aids Decision Makers". The Skywrighter. 12 December 2006. 
  5. Conley, Harry. "RiskAoA (Predictive Risk Analysis for the AoA process)". Defense Acquisition University July 2012. https://dap.dau.mil/aphome/das/Lists/Software%20Tools/DispForm.aspx?ID=57. 
  6. U.S. General Services Administration. IT Budget Submission Instructions: Guide for Major IT Initiatives (BY2009 Exhibit 300 & Exhibit 53). Washington, DC: Office of the Chief Information Officer, 2007
  7. "Electronic Systems Division". World Heritage Encyclopedia. Honolulu, Hawaii: World Heritage Encyclopedia. 2012. 
  8. Tyler, Gregory (October 2004). RiskAoA Users Manual. Wright Patterson AFB, OH: Air Force Research Laboratory. 
  9. Anderson, Norman (Oct 2005). "AFRL Systems Engineering Initiative (as RiskHammer)". https://ndiastorage.blob.core.usgovcloudapi.net/ndia/2005/systems/wednesday/nolte.pdf. 
  10. Tyler, Gregory; Masquelier, Barbra (January 2007). "Quantifying risk across the Department of Defense". pp. 60–61. http://www.dau.mil/publications/DefenseATL/DATLArchivecompletepdf/jan-feb07.pdf. 
  11. von Rosing, Mark. "Risk Research & Analysis". http://www.globaluniversityalliance.net/research-areas/risk-research-analysis/. 
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