A system of systems flexibility framework: A method for evaluating designs that are subjected to disruptions

dc.contributor.advisor Mavris, Dimitri N.
dc.contributor.author Warshawsky, David
dc.contributor.committeeMember Cooksey, Daniel
dc.contributor.committeeMember Schrage, Daniel
dc.contributor.committeeMember Kennedy, Graeme
dc.contributor.committeeMember Salmon, John
dc.contributor.department Aerospace Engineering
dc.date.accessioned 2016-01-07T17:21:21Z
dc.date.available 2016-01-07T17:21:21Z
dc.date.created 2015-12
dc.date.issued 2015-08-21
dc.date.submitted December 2015
dc.date.updated 2016-01-07T17:21:21Z
dc.description.abstract As systems become more interconnected, the focus of engineering design must shift to include consideration for systems of systems (SoS) e ects. As the focus shifts from singular systems to systems of systems, so too must the focus shift from performance based analysis to an evaluation method that accounts for the tendency of such large scale systems to far outlive their original operational environments and continually evolve in order to adapt to the changes. It is nearly impossible to predict the nature of these changes, therefore the rst focus of this thesis is the measurement of the exibility of the SoS and its ability to evolve and adapt. Flexibility is measured using a combination of network theory and a discrete event simulation, therefore, the second focus is the development of a simulation environment that can also measure the system's performance for baseline comparisons. The results indicate that simulated exibility is related to the performance and cost of the SoS and is worth measuring during the design process. The third focus of this thesis is to reduce the computational costs of SoS design evaluation by developing heuristics for exibility. This was done by developing a network model to correspond with the discrete event simulation and evaluating network properties using graph theory. It was shown that the network properties can correlate with simulated exibility. In such cases it was shown that the heuristics could be used in connection with an evolutionary algorithm to rapidly search the design space for good solutions. The entire methodology was demonstrated on a multi-platform maintenance planning problem in connection with the Navy Hardware Open System Technologies initiative.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/54277
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Systems of systems
dc.subject Modeling and simulation
dc.subject Level of repair analysis
dc.subject Genetic algorithm
dc.subject Graph theory
dc.subject Discrete event simulation
dc.subject Network modeling
dc.subject Flexibility
dc.subject Optimization
dc.title A system of systems flexibility framework: A method for evaluating designs that are subjected to disruptions
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Mavris, Dimitri N.
local.contributor.corporatename Daniel Guggenheim School of Aerospace Engineering
local.contributor.corporatename Aerospace Systems Design Laboratory (ASDL)
local.contributor.corporatename College of Engineering
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thesis.degree.level Doctoral
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