Applying Bayesian Networks to TRL Assessments – Innovation in Systems Engineering. Issue 1 (July 2017)

• Record Type: Journal Article
• Authors: Austin, Marc F.; Homberger, Cheyne; Ahalt, Virginia; Doolittle, Erin; Polacek, George A.; York, Donald M.
• Is Part Of: INCOSE International Symposium. Volume 27:Issue 1(2017)
• Page Start: 1622
• Page End: 1634
• Publication Date: 2017-07
• Subjects: Systems engineering -- Congresses; Systems engineering -- Periodicals; 620.0011
• DOI: 10.1002/j.2334-5837.2017.00451.x
• Languages: English
• ISSNs: 2334-5837

Abstract

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 combine and validate the judgment of these SMEs and increase the confidence in the determination of the readiness of system components and their technologies.