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Technology Trade Space Development in Crew-Systems for Long-Range Strike

机译:用于远程打击的船员系统技术贸易空间发展

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One promise of constructive simulation is in providing an exploratory environment within which one can identify factors critical to performance effectiveness tradeoffs. We will discuss construction of such a trade space by focusing on the methodology guiding the Crew-systems for Long- range Strike (CSLRS) program. The methodology uses an iterative, spiral process to define the trade space, develop system and operator descriptions, parameterize the trade space and analyze performance against requirements. We use the approach advocated by Rasmussen (1983; 1985) to characterize the trade space and system requirements, combined with a constructive simulation approach to describe specific technologies and human operators, and to analyze performance against requirements. Four vectors through the trade space have been identified to date: Image fusion, synthetic/enhanced displays, dynamic mission re-planning and human-system integration performance measures. We currently are using the Rasmussen abstraction hierarchy, in conjunction with standard subject matter expert interviews, to guide our definition of specific issues surrounding these vectors. As we identify specific technology challenges, models are developed within the CART environment. The technology challenges are then explored against representative scenarios. The new challenge in this particular effort is to understand mission effectiveness in a 2025 timeframe and to use this understanding to develop a technology maturation roadmap for the four trade space vectors identified above. Constructive simulations serve a critical enabling function in this process by allowing rapid development and testing of alternative technologies within the context of the specific trade space of interest. As part of our presentation we will discuss unique methodological requirements arising out of modeling and simulation activities targeted at future technologies and scenarios.

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