ARC-VM: an architecture real options complexity-based valuation methodology for military systems-of-systems acquisitions

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dc.contributor.author Domercant, Jean Charles en_US
dc.date.accessioned 2012-02-17T19:25:34Z
dc.date.available 2012-02-17T19:25:34Z
dc.date.issued 2011-11-14 en_US
dc.identifier.uri http://hdl.handle.net/1853/42928
dc.description.abstract An Architecture Real Options Complexity-Based Valuation Methodology (ARC-VM) is developed for use to aid in the acquisition of military systems-of-systems (SoS). ARC-VM is suitable for acquisition-level decision making, where there is a stated desire for more informed tradeoffs between cost, schedule, and performance during the early phases of design. First, a framework is introduced to measure architecture complexity as it directly relates to military SoS. Development of the framework draws upon a diverse set of disciplines, including Complexity Science, software architecting, measurement theory, and utility theory. Next, a Real Options based valuation strategy is developed using techniques established for financial stock options that have recently been adapted for use in business and engineering decisions. The derived complexity measure provides architects with an objective measure of complexity that focuses on relevant complex system attributes. These attributes are related to the organization and distribution of SoS functionality and the sharing and processing of resources. The use of Real Options provides the necessary conceptual and visual framework to quantifiably and traceably combine measured architecture complexity, time-valued performance levels, as well as programmatic risks and uncertainties. An example suppression of enemy air defenses (SEAD) capability demonstrates the development and utility of the resulting architecture complexity&Real Options based valuation methodology. Different portfolios of candidate system types are used to generate an array of architecture alternatives that are then evaluated using an engagement model. This performance data is combined with both measured architecture complexity and programmatic data to assign an acquisition value to each alternative. This proves useful when selecting alternatives most likely to meet current and future capability needs. en_US
dc.publisher Georgia Institute of Technology en_US
dc.subject Systems-of-systems en_US
dc.subject Systems engineering en_US
dc.subject Complexity en_US
dc.subject.lcsh Information technology
dc.subject.lcsh Multiple criteria decision making
dc.title ARC-VM: an architecture real options complexity-based valuation methodology for military systems-of-systems acquisitions en_US
dc.type Dissertation en_US
dc.description.degree PhD en_US
dc.contributor.department Aerospace Engineering en_US
dc.description.advisor Committee Chair: Mavris, Dimitri; Committee Member: Volovoi, Vitali en_US


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