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首页> 外文期刊>Systems Engineering >Sequential Pareto-Optimal Decisions Made During Emergent Complex Systems of Systems: An Application to the FAA NextGen
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Sequential Pareto-Optimal Decisions Made During Emergent Complex Systems of Systems: An Application to the FAA NextGen

机译：紧急系统复杂系统期间做出的顺序帕累托最优决策：在FAA NextGen中的应用

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This article addresses the challenges facing participants, including stakeholders, decision makers, systems engineers, and risk analysts in modeling and managing the development of on-going emergent complex systems of systems (S-o-S), with a focus on the centrality of the state variables and the time frame. More specifically, this article addresses the critical role that shared (common) states and decisions, and the time frame play in modeling the interconnectedness and interdependencies among the subsystems that constitute emergent (S-o-S). The theoretical and methodological concepts are harmonized through their relevance to the ongoing emergent Federal Aviation Administration's (FAA's) Next Generation (NextGen) complex (S-o-S) project. Appropriate parts of the Dynamic Roadmap for risk modeling, assessment, management, and communication and their companion principles and guidelines, are used to guide the analyses. Moreover, decisions made at time t for one subsystem will subsequently change the states of that subsystem as well as affect other interconnected and interdependent subsystems that share states. This phenomenon is profoundly important even when the time frame of the affected states is measured in months oryears, as is the case in the application discussed in this article. The centrality of the time frame in decision making is even more important when the impact of current decisions on future options affect not only the intended subsystem, but can also inadvertently affect other subsystems in the future. A Flowchart relates the (S-o-S)-based theory and methodology to the FAA's NextGen complex (S-o-S) project.
机译：本文解决了参与者（包括利益相关者，决策者，系统工程师和风险分析人员）在建模和管理正在进行的紧急复杂系统（SoS）的开发过程中所面临的挑战，重点是状态变量和变量的中心性。时间范围。更具体地说，本文讨论了共享（公共）状态和决策的关键作用，以及在建模构成紧急状态（S-o-S）的子系统之间的互连性和相互依赖性方面的时间框架。这些理论和方法论概念与正在进行中的联邦航空管理局（FAA）的下一代（NextGen）复杂（S-o-S）项目的相关性得到了统一。 《动态路线图》中有关风险建模，评估，管理和沟通的适当部分以及其伴随的原则和指南用于指导分析。此外，在时间t为一个子系统做出的决策将随后更改该子系统的状态，并影响共享状态的其他互连且相互依赖的子系统。即使以月或年为单位来衡量受影响状态的时间范围，这种现象也非常重要，就像本文讨论的应用程序一样。当当前决策对未来选项的影响不仅影响预期的子系统，而且还会无意影响未来的其他子系统时，决策中时间中心的重要性就显得尤为重要。流程图将基于（S-o-S）的理论和方法与FAA的NextGen综合项目（S-o-S）项目相关。

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