Abstract
AbstractA contemporary System Engineering task is development of process performance metrics. Executive management desires a single performance indicator that combines subsidiary metrics into a meaningful summary representation of organization health with respect to its mission. A purely mathematical approach can produce such an indicator, but when constituent metrics also contain subsidiary metrics, a multiple stage method is required. Because not all metric result customers are fully competent to audit the result, this paper sets forth a generally understandable method that “presells” the output to all involved parties through their approval of each model base before alternatives performance data are entered. The eminent decision support capability inherent in this method suits it for complex tradeoff analyses and System Engineering Maturity Modeling.
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