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dc.contributor.authorRaymond D. Jones
dc.contributor.authorThomas Housel
dc.identifier.citationPublished--Unlimited Distribution
dc.descriptionAcquisition Management / Defense Acquisition Community Contributor
dc.description.abstractThis study is focused on presenting the viability of an econophysics theory of value as a means for creating a quantitative value metric to estimate the future value of Department of Defense (DoD) technology acquisition programs. We will describe a simple value model and further definitize this model into a DoD acquisition framework to illustrate the utility for developmental programs within the DoD and defense industrial base. This paper will describe a method by which a metric for surrogate financial value can be allocated across a program, allowing program managers to assess the surrogate return on investment (s-ROI) of their programs and providing greater flexibility in managing program risk. Additionally, we introduce a new program performance index that reflects s-ROI which incorporates a risk-based measure that modifies and extends the traditional earned value management (EVM) cost and schedule indices and provides an earlier indication of program challenges. We refer to this index as the s-ROI Performance Index (RPI), which has the potential of being a leading program indicator on overall program value and performance. Recommendations for the use of this model in DoD acquisitions, in general, are provided at the conclusion of this study.
dc.description.sponsorshipAcquisition Research Program
dc.languageEnglish (United States)
dc.publisherAcquisition Research Program
dc.relation.ispartofseriesReturn on Investment
dc.subjectEconophysics Theory
dc.subjectQuantitative Value Metric
dc.subjectDevelopmental Programs
dc.subjectSurrogate Return on Investment
dc.subjectPerformance Index RPI
dc.titleExtending an Econophysics Value Model for Early Developmental Program Performance Prediction and Assessment
Appears in Collections:Annual Acquisition Research Symposium Proceedings & Presentations

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