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Approaches for exploration, analysis, and visualization of tradespace for engineering decision-making

Published online by Cambridge University Press:  16 May 2024

Meredith Sutton ,
Julia Daniels ,
Nafiseh Masoudi ,
David Gorsich  and
Cameron Turner
Meredith Sutton
Affiliation:
Clemson University, United States of America
Julia Daniels
Affiliation:
Clemson University, United States of America
Nafiseh Masoudi
Affiliation:
Clemson University, United States of America Aarhus University, Denmark
David Gorsich
Affiliation:
US Army Ground Vehicle Systems Center, United States of America
Cameron Turner*
Affiliation:
Clemson University, United States of America
*
cturne9@clemson.edu

Abstract

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This paper discusses approaches for tradespace analysis, exploration, and visualization to address multi-objective decision-making. Next, computational tools for early-stage tradespace analysis to enhance programmatic decision-making are introduced via a vehicle design example to demonstrate the effectiveness and capability of the method. Using a smaller sample of technologies in this problem a synthetic tradespace spans the space of potential and available solutions and provides an opportunity for design engineers to develop an insight into possible technologies and solutions within the tradespace.

Keywords

tradespace explorationoptimisationdecision making
Type
Engineering Design Practice
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 3023 - 3032
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

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