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Exploring Model-Based Portfolio Design Optimization for Modern Combat Aircrafts Selection Utilizing MATE and EEA Methods

机译:利用伴侣和eEA方法探索基于模型的产品组合设计优化选择

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Tradespace Exploration (TSE) provides decision-makers an understanding of capabilities, gaps, and potential compromises facilitating the achievement of product/ system metric objectives across the operating environment. The Portfolio design selection method utilizes a combination of Modern Portfolio Theory (MPT) for assets allocation. Multi-Attribute Tradespace Exploration (MATE) for considering greater set of alternatives than select point designs and Epoch-Era Analysis (EEA) for comparing potential portfolio performance under uncertain and changing contexts. The classic financial framework of Modern Portfolio Theory (MPT) expounds the benefits of diversification and leverage. A fundamental element of MPT is "asset allocation", or the identification of potential asset classes which a portfolio designer desires to consider for inclusion in the portfolio. Efficient Frontier is a key concept of MPT that represents the best combination of assets within an investment portfolio. While in finance, these assets may be stocks, bonds, or cash, for national air force portfolios, these may include identifying fundamental categories of air asset classes to achieve the "efficient frontier' in defensive and offensive capabilities with a desired level of strategic autonomy. The Multi-Attribute Tradespace Exploration (MATE), a conceptual design method developed at MIT. combines Multi-Attribute Utility Theory (MAUT) and Tradespace Exploration (TSE) to compare large numbers of candidate system designs using experimental designs to enumerate vectors of design variables that are evaluated by system performance models. The Epoch-Era Analysis (EEA) is a framework designed to clarify the effects of changing contexts over time on the perceived value of the system in a structured way. This paper presents a case study of Modern Combat Aircrafts (MCA) Portfolio design selection for Indian Air Force (IAF) under uncertain situational context through value-driven design and model-based tradespace exploration. A synthesized Epoch-Era Analysis (EEA) was developed, applying elements of Modern Portfolio Theory (MPT) and Multi-Attribute Tradespace Exploration (MATE) to provide a dynamic perspective for evaluation of value robustness across time periods such as War on Terror (WoT), Major Aerial Conflict (MAC) and Two-Front Peacekeeping (TFPK) with changing contexts and value expectations through select portfolio design evaluations. A brief technical overview of India's indigenous Tejas Light Combat Aircraft (LCA mk1) that is under production. Medium Weight Fighter (Tejas mk2) in prototype development and the Advanced Medium Combat Aircraft (AMCA) in design stage, all powered by American engines is also provided in the paper.
机译:Tradespace勘探(TSE)提供决策者的能力,差距和潜在的妥协促进产品/系统度量目标在整个工作环境中成就的认识。的组合设计选择方法利用用于资产分配现代组合理论(MPT)的组合。多属性Tradespace勘探(MATE)审议比选点设计和划时代的时代分析(EEA)根据不确定的和不断变化的环境比较潜在的投资组合表现的替代品的更大集。现代投资组合理论(MPT)的经典财务框架阐述了多样化和杠杆的好处。 MPT的一个基本要素是“资产配置”,或潜在的资产类别的识别的组合设计者希望考虑列入投资组合。有效边界是MPT的一个关键的概念,代表资产的投资组合内的最佳组合。虽然在金融,这些资产可以是股票,债券或现金,为国家空军的投资组合,这些可包括识别空气资产类别的基本范畴与战略自主的期望水平,以实现在防守和进攻能力“有效前沿”该多属性Tradespace勘探(MATE),在麻省理工学院开发。概念设计方法结合多属性效用理论(MAUT)和Tradespace勘探(TSE),以比较大量的候选系统的使用的实验设计来设计的枚举矢量设计变量由系统性能模型评估。大纪元时代分析(EEA)是一个旨在澄清结构化的方式对系统的感知价值变化的环境,随着时间的推移影响的框架。本文展现了现代的案例研究通过价值驱动的设计和模型库作战飞机(MCA)组合设计选型印度空军(IAF)在不确定的情境d tradespace探索。 A中合成划时代时代分析(EEA)的开发,应用现代组合理论(MPT)和多属性Tradespace勘探(MATE)的元件,以提供为值鲁棒性的评价用动态透视跨越的时间段,例如反恐战争(WOT ),主要空中冲突(MAC)和两条战线维(TFPK)通过选择投资组合设计评估不断变化的环境和价值的期望。印度国产Tejas的轻型战斗机(LCA MK1)是在生产的简要技术概述。中等重量战斗机(Tejas的MK2)的原型开发和设计阶段的高级中型战斗机(AMCA),全部由美国引擎也是在文件中提供。

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