Optimal Risk-Based Integrated Design (ORBID) for Multidisciplinary Systems
The final goals of large-scale complex system organizations are mainly reducing costs and improving reliability and performance of systems while assessing how much risk (cost, schedule, scope) they can take and still remain competitive. To achieve this goal they need to develop tools to reach the most preferred design product while reducing the time of decision making during the design process, time to market and total costs and increasing reliability, safety, satisfactory, performance. In addition, they should understand attitudes toward risk; know where more information is needed and identify critical factors and assumptions underlying decisions to aid in the design and development cycle of complex systems. To address these needs, this research introduces Optimal Risk-based Integrated Design (ORBID) for multidisciplinary complex systems that offers a methodology for obtaining the highest performance of multidisciplinary systems within risk constraints while satisfying all constraints and requirements of the design and development of large-scale complex systems.