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Design for Affordability from System to Programme to Portfolio Using Tradespace-Based Affordability Analysis: An Application to a Federated Satellite System Design Case Study

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Complex Systems Design & Management Asia

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 426))

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Abstract

Affordability has become essential to the design of complex systems, programmes and portfolios due to evolving performance requirements, budget uncertainties and schedule uncertainties. This necessitates the design for affordability, which is the holistic consideration of performance, cost, schedule and other non-monetary parameters during early-phase design to perform valuable tradeoffs. By treating affordability as a high-priority ility, Multi-Attribute Tradespace Exploration and Epoch-Era Analysis can be used to synthesize a progressive tradespace-based method for finding affordable solutions and to perform affordability analysis. This method is called Tradespace-based Affordability Analysis and it can better simulate the scale, complexity and uncertainties in design, while mitigating the risk of losing valuable solutions due to oversight. Its feasibility is demonstrated through application to a case study on Federated Satellite Systems. Through a bottom-up design approach from system to programme to portfolio, an affordable solution with the desired tradeoffs across all its parameters can be obtained.

This material is an authorized derivative work of the author’s graduate thesis “Design for Affordability in Defense and Aerospace Systems Using Tradespace-based Methods” (Copyright MIT, 2014) written at the Massachusetts Institute of Technology (MIT).

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Correspondence to Marcus Shihong Wu .

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Wu, M.S. (2016). Design for Affordability from System to Programme to Portfolio Using Tradespace-Based Affordability Analysis: An Application to a Federated Satellite System Design Case Study. In: Cardin, MA., Fong, S., Krob, D., Lui, P., Tan, Y. (eds) Complex Systems Design & Management Asia. Advances in Intelligent Systems and Computing, vol 426. Springer, Cham. https://doi.org/10.1007/978-3-319-29643-2_14

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  • DOI: https://doi.org/10.1007/978-3-319-29643-2_14

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-29643-2

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