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Toward a Value-Driven Design Approach for Complex Engineered Systems Using Trade Space Exploration Tools

[+] Author Affiliations
Simon W. Miller, Timothy W. Simpson

The Pennsylvania State University, University Park, PA

Michael A. Yukish, Gary Stump

Applied Research Laboratory, State College, PA

Bryan L. Mesmer, Elliott B. Tibor, Christina L. Bloebaum, Eliot H. Winer

Iowa State University, Ames, IA

Paper No. DETC2014-34503, pp. V02AT03A052; 10 pages
doi:10.1115/DETC2014-34503
From:
  • ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 2A: 40th Design Automation Conference
  • Buffalo, New York, USA, August 17–20, 2014
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-4631-5
  • Copyright © 2014 by ASME

abstract

Design decision-making involves trade-offs between many design variables and attributes, which can be difficult to model and capture in complex engineered systems. To choose the best design, the decision-maker is often required to analyze many different combinations of these variables and attributes and process the information internally. Trade Space Exploration (TSE) tools, including interactive and multi-dimensional data visualization, can be used to aid in this process and provide designers with a means to make better decisions, particularly during the design of complex engineered systems. In this paper, we investigate the use of TSE tools to support decision-makers using a Value-Driven Design (VDD) approach for complex engineered systems. A VDD approach necessitates a rethinking of trade space exploration. In this paper, we investigate the different uses of trade space exploration in a VDD context. We map a traditional TSE process into a value-based trade environment to provide greater decision support to a design team during complex systems design. The research leverages existing TSE paradigms and multi-dimensional data visualization tools to identify optimal designs using a value function for a system. The feasibility of using these TSE tools to help formulate value functions is also explored. A satellite design example is used to demonstrate the differences between a VDD approach to design complex engineered systems and a multi-objective approach to capture the Pareto frontier. Ongoing and future work is also discussed.

Copyright © 2014 by ASME
Topics: Design

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