Research Area: | Research Publication | Year: | 2003 | ||
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Type of Publication: | Technical Report | ||||

Authors: | Patel, Mitul; Lewis, Kemper; Maria, Aniela; Messac, Achille | ||||

Abstract: | The design of complex systems can involve the selection of several subsystem designs.We investigate the problem
of selecting discrete concepts from multiple, coupled subsystems. This problem is one where measures of merit
for both subsystem (local) and system (global) levels are present. An approach is developed to obtain the sets of
preferred subsystem design concepts. Graph theory is used to represent the coupled selection problem where the
nodes of the graph are the subsystem design choices and the arcs connecting the nodes indicate the relationships
between the subsystems. Optimization techniques from graph theory and physical programming are combined
to form an approach to model and solve this problem. This approach can be used to identify a given number of
successful, or feasible, subsystem combinations that represent design alternatives. Once the promising subsystem
designs are obtained at the conceptual design stage, focus can be restricted to these chosen design alternatives for
further testing and reŽ nement at a later embodiment design stage. Although the examples presented in this paper
involve conceptual design, the presented approach can be used with any coupled discrete selection problem |
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Comments: | AIAA Journal |
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Full text: lewis_aiaaj_system_pp_2003.pdf |