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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
*
[email protected]

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.

References

Daniels, J., Turner, C. J., Wagner, J., Masoudi, N., Agyemang, M., Hartman, G., Rizzo, D., Gorsich, D., Skowronska, A., & Agusti, R. (2022). Designing the Design Space: Evaluating Best Practices in Tradespace Exploration, Analysis and Decision-Making. SAE International Journal of Advances and Current Practices in Mobility, 4(4), 1344–1359. https://doi.org/10.4271/2022-01-0354Google Scholar
Daniels, J., Wagner, J. R., Turner, C. J., Gorsich, D., Rizzo, D., Hartman, G., Agusti, R., Skowronska, A., Castanier, M., & Rapp, S. H. (2022). Tradespace Organizational Practices: A Case Study. Volume 2: 42nd Computers and Information in Engineering Conference (CIE). https://doi.org/10.1115/detc2022-91091Google Scholar
de Castro, P., Stewart, H., Turner, C., Wiecek, M., Hartman, G., Rizzo, D., Gorsich, D., Skowronska, A., & Agusti, R. (2022). Decomposition and Coordination to Support Tradespace Analysis for Ground Vehicle Systems. SAE Technical Paper Series. https://doi.org/10.4271/2022-01-0370CrossRefGoogle Scholar
Fitzgerald, M. E., & Ross, A. M. (2014). Controlling for Framing Effects in Multi-stakeholder Tradespace Exploration. Procedia Computer Science, 28, 412–421. https://doi.org/10.1016/j.procs.2014.03.051CrossRefGoogle Scholar
Garber, M., Sarkani, S., & Mazzuchi, T. A. (2015). Multi-Stakeholder Trade Space Exploration Using Group Decision Making Methodologies. INCOSE International Symposium, 25(1), 1118–1132. Portico. https://doi.org/10.1002/j.2334-5837.2015.00119.xCrossRefGoogle Scholar
Landis, J. R., & Koch, G. G. (1977). The Measurement of Observer Agreement for Categorical Data. Biometrics, 33(1), 159. https://doi.org/10.2307/2529310CrossRefGoogle ScholarPubMed
Lego, S. E., Stump, G. M., & Yukish, M. (2010). Trade space exploration: New Visual Steering features. 2010 IEEE Aerospace Conference. https://doi.org/10.1109/aero.2010.5446882Google Scholar
McManus, H., Richards, M., Ross, A., & Hastings, D. (2007). A framework for incorporating "ilities" in tradespace studies. In AIAA Space 2007 Conference & Exposition (p. 6100). https://doi.org/10.2514/6.2007-6100Google Scholar
Pahl, G., & Beitz, W. (1996). Engineering Design (K. Wallace, Ed.). Springer London. https://doi.org/10.1007/978-1-4471-3581-4CrossRefGoogle Scholar
Ross, A. M., Hastings, D. E., Warmkessel, J. M., & Diller, N. P. (2004). Multi-Attribute Tradespace Exploration as Front End for Effective Space System Design. Journal of Spacecraft and Rockets, 41(1), 20–28. https://doi.org/10.2514/1.9204CrossRefGoogle Scholar
Specking, E., Parnell, G., Pohl, E., & Buchanan, R. (2019). Evaluating a Set-Based Design Tradespace Exploration Process. Procedia Computer Science, 153, 185–192. https://doi.org/10.1016/j.procs.2019.05.069CrossRefGoogle Scholar
Spero, E., Bloebaum, C. L., German, B. J., Pyster, A., & Ross, A. M. (2014). A Research Agenda for Tradespace Exploration and Analysis of Engineered Resilient Systems. Procedia Computer Science, 28, 763–772. https://doi.org/10.1016/j.procs.2014.03.091CrossRefGoogle Scholar
Stump, G., Lego, S., Yukish, M., Simpson, T. W., & Donndelinger, J. A. (2007). Visual Steering Commands for Trade Space Exploration: User-Guided Sampling With Example. Volume 6: 33rd Design Automation Conference, Parts A and B. https://doi.org/10.1115/detc2007-34684CrossRefGoogle Scholar
Sutton, M., Turner, C., Wagner, J., Gorsich, D., Rizzo, D., Hartman, G., Agusti, R., Skowronska, A., & Castanier, M. (2022). Current Practice of Visualizations for Tradespace Exploration: A Literature Study. In Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium.Google Scholar
Sutton, M., Wagner, J., Turner, C., Hartman, G., Gorsich, D., Skowronska, A., & Rapp, S. (2023). Exploration of Support Methods for Tradespace Exploration. SAE Technical Paper Series. https://doi.org/10.4271/2023-01-0117CrossRefGoogle Scholar
Tan, P. S., & Moser, B. R. (2018). Detection of Teamwork Behavior as Meaningful Exploration of Tradespace During Project Design. Advances in Intelligent Systems and Computing, 73–87. https://doi.org/10.1007/978-3-030-02886-2_7CrossRefGoogle Scholar
Turner, C. J., Masoudi, N., Stewart, H., Daniels, J., Gorsich, D., Rizzo, D., Hartman, G., Agusti, R., Skowronska, A., Castanier, M., & Rapp, S. H. (2022). A Synthetic Tradespace Model for Tradespace Analysis and Exploration. Volume 2: 42nd Computers and Information in Engineering Conference (CIE). https://doi.org/10.1115/detc2022-91080CrossRefGoogle Scholar
Wiecek, M. M., & de Castro, P. J. (2022). Decomposition and Coordination for Many-Objective Optimization. Multiple Criteria Decision Making, 307–329. https://doi.org/10.1007/978-3-030-96318-7_16CrossRefGoogle Scholar
Yukish, M., Stump, G. M., & Lego, S. (2007). Visual Steering and Trade Space Exploration. 2007 IEEE Aerospace Conference. , pp. 1–9. https://doi.org/10.1109/aero.2007.352988CrossRefGoogle Scholar
Zuloeta Bonilla, R., Bhandari, R., & Pérez Rodarte, A. (2021). Multi-attribute assessment of a river electromobility concept in the Amazon region. Energy for Sustainable Development, 61, 139–152. https://doi.org/10.1016/j.esd.2021.01.007CrossRefGoogle Scholar