Compared to the relative wealth of information surrounding design in the context of system-of-systems there has been little research surrounding policy making in system-of-systems. While the adoption of a formal approach and lexicon for system-of-systems problems has been proposed by researchers, the specific inclusion of regulatory policies in system-of-systems is still largely absent or underdeveloped. Typically, there is no distinction between internal policies of an organization and exogenous policies coming through regulatory channels. Further, researchers have yet to formally employ a standardized framework to regulatory policy problems in the context of a system-of-systems. As international regulatory bodies are calling on world States to identify and select “baskets of measures” to address CO2 emissions from civil aviation, there is a growing recognition that doing so will require a framework for policy identification and selection. Despite this recognition, such a framework has yet to be established.
This research develops a formal lexicon for public policy as a part of system-of-systems, and employs a formalized process to explore multiple established, planned, and potential policies in the context of the global civil aviation system. Existing architectures and lexicons will be expanded to include regulatory policies that have often been treated as exogenous forcing functions in system-of-systems problems. Ultimately, a process for informed quantitative decision making to support concurrent CO2 regulatory policy analysis and design in the civil aviation system-of-systems is established. The developed methodology will allow policy makers to systematically identify effective policy space, while maintaining the objectivity of the analyst.
| Identifer | oai:union.ndltd.org:GATECH/oai:smartech.gatech.edu:1853/53459 |
| Date | 08 June 2015 |
| Creators | Boling, Bryan Kenneth |
| Contributors | Mavris, Dimitri N. |
| Publisher | Georgia Institute of Technology |
| Source Sets | Georgia Tech Electronic Thesis and Dissertation Archive |
| Language | en_US |
| Detected Language | English |
| Type | Dissertation |
| Format | application/pdf |
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