Risk-based design for multidisciplinary complex systems
To address these needs, this research introduces design organizations can capture, assess, and efficiently and effectively communicate uncertainty through their design processes, and as a result, improve their capacity for delivering complex systems that meet cost, schedule, and performance objectives.
Advisor:Tumer, Irem Y.; Cann, David P.; Zaworski, Joe; Logendran, Logen R.
School:Oregon State University
School Location:USA - Oregon
Source Type:Master's Thesis
Keywords:risk uncertainty complex systems multidisciplinary concurrent design communication orbid cactus rubic requirement managemenet management resource allocation flexible optimization optimal based engineering system assessment
Date of Publication:04/27/2009