OPTIMAL RISK-BASED INTEGRATED DESIGN (ORBID) FOR MULTIDISCIPLINARY COMPLEX SYSTEMS

The ultimate goal of large-scale design organizations are mainly to reduce costs and improve 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, as well as 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 address these needs, this paper introduces Optimal Risk-Based Integrated Design (ORBID) for multidisciplinary complex systems that offers a methodology for obtaining the highest performance within risk constraints while satisfying all constraints of the design and development of large-scale complex systems. ORBID offers a cumulative tool for dealing with these issues by introducing techniques for Design Requirement and Resource Allocation Management (DRRAM), Capturing, Assessing and Communication Tool for Uncertainty Simulation (CACTUS) and Flexible Risk-based Optimal Decision-making (FROD) in an EXCEL-based design environment.