• DocumentCode
    2062821
  • Title

    Extending the Strategy Based Risk Model: Application to the validation process for R&D satellites

  • Author

    Langenbrunner, Amanda J. ; Trautwein, Mary R.

  • Author_Institution
    Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA
  • fYear
    2010
  • fDate
    6-13 March 2010
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    The validation between a research and developmental (R&D) satellite and its ground system is critical to ensuring the satellite success on orbit. However, the exact process for completing validation is not documented; the effort is frequently underfunded and accomplished ad hoc. This leads to debate regarding how to best maintain budget and schedule, while ensuring on-orbit success. This paper examines several years of readiness and on-orbit activities within the U.S. Air Force Space Development and Test Wing´s Research Development Test and Evaluation (RDT&E) Support Complex (RSC). Using this historical data together with subject matter experts, a validation process was first defined. Risks associated with this validation process were then analyzed using the Strategy Based Risk Model, evaluated based on the probability of occurrence and severity of impact. The validation process and associated costs were verified using the Delphi Method, obtaining consensus from a group of experts through a series of surveys. After compiling the results, we transformed the risk validation model into a simulation. A simulation is used to generate distributions of possible costs and risk outcomes and is analyzed in relation to impact events. Finally we applied the simulation to an on-going program, and gave it to two program managers to provide input on the usefulness of the simulation. This simulation will be distributed to program offices to support tailoring a validation plan based on their budget. The simulation will give decision makers insight into the expected risks and costs associated with the selected validation process, based on historical data and subject matter expertise.
  • Keywords
    artificial satellites; decision making; ground support systems; probability; research and development; risk analysis; Delphi method; R&D satellites; decision making; ground system; probability; research and development; severity; strategy based risk model; Analytical models; Artificial satellites; Control systems; Costs; Discrete event simulation; Force control; Military satellites; Research and development; Risk analysis; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2010 IEEE
  • Conference_Location
    Big Sky, MT
  • ISSN
    1095-323X
  • Print_ISBN
    978-1-4244-3887-7
  • Electronic_ISBN
    1095-323X
  • Type

    conf

  • DOI
    10.1109/AERO.2010.5446808
  • Filename
    5446808