Aug 22 2019
The commitment to technology, system configuration, performance, and life-cycle cost is particularly acute during the early stages of system design. A large gap exists between this commitment and the system specific knowledge available during con ceptual and preliminary design. Powerful approaches utilizing modeling and indirect experimentation may be used to help narrow this gap. This paper presents a paradigm based on the structure of normative models from the domains of operations research and systems analysis. The paradigm involves the identification and incorporation of design dependent parameters to link design characteristics with operational outcomes. Optimization and trade-off decisions are facilitated during the systems engineering process with the aid of a Design Evaluation Function and a Design Evaluation Display, both of which are described in this paper.