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Using Bayesian Networks to Validate Technology Readiness Assessments of Systems

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Disciplinary Convergence in Systems Engineering Research

Abstract

Currently, Technology Readiness Assessments (TRAs) are used in determining the maturity of the Critical Technology Elements (CTEs) of a system as it moves forward in the system development life cycle. The TRA method uses Technology Readiness Levels (TRLs) as the decision metric. TRL values are assessed and determined by Subject Matter Experts (SMEs). Since expert evaluators often differ in their judgment when scoring a system element against the TRL scale criteria, this paper argues for the use of a Bayesian network model to provide a mathematical method to consistently validate the judgment of these SMEs and increase the confidence in the determination of the readiness of system components and their technologies.

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References

  1. Mankins JC (1995) Technology Readiness Levels, NASA

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  2. Assistant Secretary of Defense for Research and Engineering (ASD(R&E)), Department of Defense Technology Readiness Assessment (TRA) Guidance, (April 2011)

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Correspondence to Marc F. Austin .

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Austin, M.F., Homberger, C., Polacek, G.A., Doolittle, E., Ahalt, V., York, D.M. (2018). Using Bayesian Networks to Validate Technology Readiness Assessments of Systems. In: Madni, A., Boehm, B., Ghanem, R., Erwin, D., Wheaton, M. (eds) Disciplinary Convergence in Systems Engineering Research. Springer, Cham. https://doi.org/10.1007/978-3-319-62217-0_55

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  • DOI: https://doi.org/10.1007/978-3-319-62217-0_55

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62216-3

  • Online ISBN: 978-3-319-62217-0

  • eBook Packages: EngineeringEngineering (R0)

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