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Thesis Abstract: Integration of System-Level Optimization with Concurrent
Engineering
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Concurrent engineering practices put engineers together for fast-paced design
sessions, in which many design points can be explored in a relatively small
amount of time. System-level optimization is a powerful tool that is
continuing to improve as the techniques get refined and as computers get
faster. Currently, system-level optimizers tend to be run offline and take
significant amounts of time to converge, which makes them difficult to run in
parallel with concurrent engineering sessions. By parameterizing the subsystem
models, the system-level optimizer can be sped up to the level required for a
design session. This integration has potential to be a powerful aid to
concurrent engineering.
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