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Journal articles on the topic 'Tradespace Exploration'

Author: Grafiati

Published: 14 March 2023

Last updated: 31 July 2025

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1

Sutton, Meredith, Julia Daniels, Nafiseh Masoudi, David Gorsich, and Cameron Turner. "Approaches for exploration, analysis, and visualization of tradespace for engineering decision-making." Proceedings of the Design Society 4 (May 2024): 3023–32. http://dx.doi.org/10.1017/pds.2024.306.

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AbstractThis 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 t

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2

Ross, Adam M., and Daniel E. Hastings. "11.4.3 The Tradespace Exploration Paradigm." INCOSE International Symposium 15, no. 1 (2005): 1706–18. http://dx.doi.org/10.1002/j.2334-5837.2005.tb00783.x.

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3

Machchhar, Raj Jiten, Omsri Kumar Aeddula, Alessandro Bertoni, Johan Wall, and Tobias Larsson. "SUPPORTING CHANGEABILITY QUANTIFICATION IN PRODUCT-SERVICE SYSTEMS VIA CLUSTERING ALGORITHM." Proceedings of the Design Society 3 (June 19, 2023): 3225–34. http://dx.doi.org/10.1017/pds.2023.323.

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AbstractThe design of Product-Service Systems (PSS) is challenging due to the inherent complexities and the associated uncertainties. This challenge aggravates when the PSS being considered has a longer lifespan, is expected to encounter a dynamic context, and integrates many novel technologies. From systems engineering literature, one of the measures for mitigating the risks associated with the uncertainties is incorporating means in the system to change internally as a response to change externally. Such systems are referred to as value-robust systems, and their development largely relies on

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4

Ross, Adam M., David B. Stein, and Daniel E. Hastings. "Multi-Attribute Tradespace Exploration for Survivability." Journal of Spacecraft and Rockets 51, no. 5 (2014): 1735–52. http://dx.doi.org/10.2514/1.a32789.

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5

Smirnov, Dmitry, and Alessandro Golkar. "Stirling Engine Systems Tradespace Exploration Framework." Procedia Computer Science 44 (2015): 558–67. http://dx.doi.org/10.1016/j.procs.2015.03.010.

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6

Baylot, E. Alex, Drew Kelley, James Richards, and Deanna Hardin. "Introducing Cost Models to Conceptual Tradespace Exploration." INCOSE International Symposium 28, no. 1 (2018): 16–29. http://dx.doi.org/10.1002/j.2334-5837.2018.00464.x.

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7

Fitzgerald, Matthew E., and Adam M. Ross. "Recommendations for Framing Multi-Stakeholder Tradespace Exploration." INCOSE International Symposium 26, no. 1 (2016): 2376–90. http://dx.doi.org/10.1002/j.2334-5837.2016.00301.x.

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8

Specking, Eric, Gregory Parnell, Edward Pohl, and Randy Buchanan. "Early Design Space Exploration with Model-Based System Engineering and Set-Based Design." Systems 6, no. 4 (2018): 45. http://dx.doi.org/10.3390/systems6040045.

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Adequately exploring the tradespace in the early system design phase is important to determine the best design concepts to pursue in the next life cycle stage. Tradespace exploration (TSE) often uses trade-off analysis. Set-based design (SBD) methods, compared to traditional point-based design, explore significantly more designs. An integrated framework with model-based system engineering (MBSE) and a life cycle cost model enables design evaluation in near real-time. This study proposes an early design phase SBD methodology and demonstrates how SBD enabled by an integrated framework with MBSE

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9

Davison, Peter, Bruce G. Cameron, and Edward F. Crawley. "Tradespace exploration of in-space communications network architectures." Technology Analysis & Strategic Management 29, no. 6 (2016): 583–99. http://dx.doi.org/10.1080/09537325.2016.1217322.

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Spero, Eric, Michael P. Avera, Pierre E. Valdez, and Simon R. Goerger. "Tradespace Exploration for the Engineering of Resilient Systems." Procedia Computer Science 28 (2014): 591–600. http://dx.doi.org/10.1016/j.procs.2014.03.072.

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11

Specking, Eric, Gregory Parnell, Edward Pohl, and Randy Buchanan. "Evaluating a Set-Based Design Tradespace Exploration Process." Procedia Computer Science 153 (2019): 185–92. http://dx.doi.org/10.1016/j.procs.2019.05.069.

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12

Bhattacharya, Saikath, Vidhyashree Nagaraju, Eric Spero, Anindya Ghoshal, and Lance Fiondella. "Incorporating quantitative reliability engineering measures into tradespace exploration." Research in Engineering Design 29, no. 4 (2018): 589–603. http://dx.doi.org/10.1007/s00163-018-0293-8.

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13

Small, Colin, Gregory S. Parnell, Ed Pohl, Simon R. Goerger, Matthew Cilli, and Eric Specking. "Demonstrating set-based design techniques: an unmanned aerial vehicle case study." Journal of Defense Modeling and Simulation: Applications, Methodology, Technology 17, no. 4 (2019): 339–55. http://dx.doi.org/10.1177/1548512919872822.

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The Engineered Resilient Systems research program seeks to improve decision making in the Analysis of Alternatives process by leveraging model-based engineering (MBE) early in the design process to develop more resilient systems. Traditional tradespace exploration using point-based design often converges quickly to an initial baseline design concept with subsequent engineering changes to modify the design. However, this process can lead to significant cost growth if the initial concept is not able to meet requirements or if the revised design is not affordable. Enabled by MBE, set-based design

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14

Eldesouky, Mohamed, Marcus Vinicius Pereira Pessoa, and Vlad Stefanovici. "LEVERAGING MISSION SOLUTION CONFIGURATION THROUGH MBSE AND TRADESPACE EXPLORATION." INCOSE International Symposium 34, no. 1 (2024): 2028–47. http://dx.doi.org/10.1002/iis2.13254.

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AbstractThales is a worldwide leader in innovative radar and mission solution systems used by naval ships. As the demand for personalized products increased through time, Thales shifted from a project‐oriented to a product‐oriented approach. This shift aims to capitalize on variants, minimize customization, and streamline operations. In this context, Thales established a mission solution configuration process (SCP) to facilitate the selection of product variants to compose a system during the bidding phase. However, the current SCP has limitations, constraining exploration and integration with

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15

Fitzgerald, Matthew E., and Adam M. Ross. "Controlling for Framing Effects in Multi-stakeholder Tradespace Exploration." Procedia Computer Science 28 (2014): 412–21. http://dx.doi.org/10.1016/j.procs.2014.03.051.

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16

Richards, Matthew G., Adam M. Ross, Nirav B. Shah, and Daniel E. Hastings. "Metrics for Evaluating Survivability in Dynamic Multi-Attribute Tradespace Exploration." Journal of Spacecraft and Rockets 46, no. 5 (2009): 1049–64. http://dx.doi.org/10.2514/1.41433.

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17

Specking, Eric, Nicholas Shallcross, Gregory S. Parnell, and Edward Pohl. "Quantitative Set-Based Design to Inform Design Teams." Applied Sciences 11, no. 3 (2021): 1239. http://dx.doi.org/10.3390/app11031239.

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System designers, analysts, and engineers use various techniques to develop complex systems. A traditional design approach, point-based design (PBD), uses system decomposition and modeling, simulation, optimization, and analysis to find and compare discrete design alternatives. Set-based design (SBD) is a concurrent engineering technique that compares a large number of design alternatives grouped into sets. The existing SBD literature discusses the qualitative team-based characteristics of SBD, but lacks insights into how to quantitatively perform SBD in a team environment. This paper proposes

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18

Battat, Jonathan A., Bruce Cameron, Alexander Rudat, and Edward F. Crawley. "Technology Decisions Under Architectural Uncertainty: Informing Investment Decisions Through Tradespace Exploration." Journal of Spacecraft and Rockets 51, no. 2 (2014): 523–32. http://dx.doi.org/10.2514/1.a32562.

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19

Davison, Peter, Demetrios Kellari, Edward F. Crawley, and Bruce G. Cameron. "Communications satellites: Time expanded graph exploration of a tradespace of architectures." Acta Astronautica 115 (October 2015): 442–51. http://dx.doi.org/10.1016/j.actaastro.2015.05.017.

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20

Chattopadhyay, Debarati, Adam M. Ross, and Donna H. Rhodes. "Combining Attributes for Systems of Systems in Multi-Attribute Tradespace Exploration." INSIGHT 13, no. 2 (2010): 31–38. http://dx.doi.org/10.1002/inst.201013231.

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21

Machchhar, Raj Jiten, Carl Nils Konrad Toller Melén, and Alessandro Bertoni. "A tradespace exploration approach for changeability assessment from a system-of-systems perspective: application from the construction machinery industry." Proceedings of the Design Society 4 (May 2024): 2655–64. http://dx.doi.org/10.1017/pds.2024.268.

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AbstractThe rapid development of new technologies such as electrification, autonomy, and other contextual factors pose significant challenges to development teams in balancing competing aspects while developing value-robust solutions. One approach for achieving value robustness is designing for changeability. This paper presents a tradespace exploration from a Systems-of-Systems perspective to facilitate changeability assessment during early design stages. The approach is further demonstrated on a fleet of haulers operating in a mining site.

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22

Ross, Adam M., Daniel E. Hastings, Joyce M. Warmkessel, and Nathan P. Diller. "Multi-Attribute Tradespace Exploration as Front End for Effective Space System Design." Journal of Spacecraft and Rockets 41, no. 1 (2004): 20–28. http://dx.doi.org/10.2514/1.9204.

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23

Fitzgerald, Matthew E., and Adam M. Ross. "Guiding Cooperative Stakeholders to Compromise Solutions Using an Interactive Tradespace Exploration Process." Procedia Computer Science 16 (2013): 343–52. http://dx.doi.org/10.1016/j.procs.2013.01.036.

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24

Spero, Eric, Christina L. Bloebaum, Brian J. German, Art Pyster, and Adam M. Ross. "A Research Agenda for Tradespace Exploration and Analysis of Engineered Resilient Systems." Procedia Computer Science 28 (2014): 763–72. http://dx.doi.org/10.1016/j.procs.2014.03.091.

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25

Sitterle, Valerie B., Dane F. Freeman, Simon R. Goerger, and Tommer R. Ender. "Systems Engineering Resiliency: Guiding Tradespace Exploration within an Engineered Resilient Systems Context." Procedia Computer Science 44 (2015): 649–58. http://dx.doi.org/10.1016/j.procs.2015.03.013.

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26

Fitzgerald, Matthew E., and Adam M. Ross. "Artificial intelligence analytics with Multi-Attribute Tradespace Exploration and Set-Based Design." Procedia Computer Science 153 (2019): 27–36. http://dx.doi.org/10.1016/j.procs.2019.05.052.

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27

Qiao, Li, Mahmoud Efatmaneshnik, and Michael Ryan. "A Combinatorial Approach to Tradespace Exploration of Complex Systems: A CubeSat Case Study." INCOSE International Symposium 27, no. 1 (2017): 763–79. http://dx.doi.org/10.1002/j.2334-5837.2017.00392.x.

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28

Palermo, Gianluca, Alessandro Golkar, and Paolo Gaudenzi. "Earth Orbiting Support Systems for commercial low Earth orbit data relay: Assessing architectures through tradespace exploration." Acta Astronautica 111 (June 2015): 48–60. http://dx.doi.org/10.1016/j.actaastro.2015.02.011.

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29

Salado, Alejandro. "Defining Better Test Strategies with Tradespace Exploration Techniques and Pareto Fronts: Application in an Industrial Project." Systems Engineering 18, no. 6 (2015): 639–58. http://dx.doi.org/10.1002/sys.21332.

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30

Crisp, N. H., K. L. Smith, and P. M. Hollingsworth. "An integrated design methodology for the deployment of constellations of small satellites." Aeronautical Journal 123, no. 1266 (2019): 1193–215. http://dx.doi.org/10.1017/aer.2019.57.

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ABSTRACTA growing interest in constellations of small satellites has recently emerged due to the increasing capability of these platforms and their reduced time and cost of development. However, in the absence of dedicated launch services for these systems, alternative methods for the deployment of these constellations must be considered which can take advantage of the availability of secondary-payload launch opportunities. Furthermore, a means of exploring the effects and tradeoffs in corresponding system architectures is required. This paper presents a methodology to integrate the deployment

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31

Varaklis, Kalli, Mark G. Parker, Jordan S. Peck, and Robert G. Bing-You. "Aligning Strategic Interests in an Academic Medical Center: A Framework for Evaluating GME Expansion Requests." Journal of Graduate Medical Education 11, no. 1 (2019): 85–91. http://dx.doi.org/10.4300/jgme-d-18-00730.1.

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ABSTRACT Background In 2017, the Maine Medical Center Graduate Medical Education Committee received an unprecedented number of requests (n = 18) to start new graduate medical education (GME) programs or expand existing programs. There was no process by which multiple programs could be prioritized to compete for scarce GME resources. Objective We developed a framework to strategically assess and prioritize GME program expansion requests to yield the greatest benefits for patients, learners, and the institution as well as to meet regional and societal priorities. Methods A systems engineering me

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32

MacCalman, Alex D., Paul T. Beery, and Eugene P. Paulo. "A Systems Design Exploration Approach that Illuminates Tradespaces Using Statistical Experimental Designs." Systems Engineering 19, no. 5 (2016): 409–21. http://dx.doi.org/10.1002/sys.21352.

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33

Kreykes, Amy J., Rahul Suresh, Dana Levin, and David C. Hilmers. "Selecting Medical Conditions Relevant to Exploration Spaceflight to Create the IMPACT 1.0 Medical Condition List." Aerospace Medicine and Human Performance 94, no. 7 (2023): 550–57. http://dx.doi.org/10.3357/amhp.6199.2023.

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INTRODUCTION: Medical conditions occurring in spaceflight pose risks to the crew and the mission and these risks will be exacerbated during exploration-class missions. Probabilistic risk assessment is a method used at NASA to quantify this risk for low-Earth orbit operations. Informing Mission Planning via Analysis of Complex Tradespaces (IMPACT) is a next-generation tool suite that will perform these assessments for exploration-class missions. It will require a robust list of medical conditions of significant likelihood and/or consequence to exploration-class missions to accurately inform the

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34

Apaza, Gabriel, and Daniel Selva. "Leveraging Large Language Models for Tradespace Exploration." Journal of Spacecraft and Rockets, May 8, 2024, 1–19. http://dx.doi.org/10.2514/1.a35834.

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This paper proposes a method for leveraging large language models (LLMs) to improve the question-answering capabilities of artificial intelligence (AI) assistants for tradespace exploration. The method operates by querying an information space composed of fused data sources encompassing the tradespace exploration process and responding based on the gathered information. The information retrieval process is modeled as an internal dialog where an LLM-based dialog agent converses with a subquery answering agent. A case study is conducted on a next-generation soil moisture mission (SM-NG), and a g

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35

Rüede, Anne-Marlene, Marc-André Chavy-Macdonald, Antonio Rinalducci, et al. "A novel pattern language method for tradespace exploration: application to space mission architecting." Journal of Engineering Design, November 19, 2024, 1–33. http://dx.doi.org/10.1080/09544828.2024.2427559.

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36

Li, Kevin T., Christian A. Hofmann, Harald Reder, and Andreas Knopp. "A Techno-Economic Assessment and Tradespace Exploration of Low Earth Orbit Mega-Constellations." IEEE Communications Magazine, 2022, 1–7. http://dx.doi.org/10.1109/mcom.001.2200312.

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37

Xu, Peng, Alejandro Salado, and Xinwei Deng. "A Parallel Tempering Approach for Efficient Exploration of the Verification Tradespace in Engineered Systems." IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 1–13. http://dx.doi.org/10.1109/tsmc.2022.3152784.

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38

Fisher, William, Qiong Zhang, and Yongjia Song. "Batch sequential designs in Bayesian preference elicitation with application to tradespace exploration for vehicle concept design." Journal of Quality Technology, January 23, 2025, 1–20. https://doi.org/10.1080/00224065.2024.2430977.

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39

Gallarno, George, Jeremy Muniz, Gregory S. Parnell, Edward A. Pohl, and Jingxian Wu. "Development and assessment of a resilient telecoms system." Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, January 11, 2023, 154851292211437. http://dx.doi.org/10.1177/15485129221143791.

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Emergency telecommunication infrastructure is essential for residents and emergency responders during natural disasters to coordinate life-saving and life-preserving efforts. Ensuring resilience of the emergency telecommunication infrastructure is of critical importance for regions with an increased likelihood of natural disasters. We developed an integrated modeling framework for assessing emergency telecommunication systems. The framework used performance models to assess coverage and surge capabilities for a given system architecture. The performance models assess the telecom system value u

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40

Martin, Jay D. "Computational Improvements to Estimating Kriging Metamodel Parameters." Journal of Mechanical Design 131, no. 8 (2009). http://dx.doi.org/10.1115/1.3151807.

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The details of a method to reduce the computational burden experienced while estimating the optimal model parameters for a Kriging model are presented. A Kriging model is a type of surrogate model that can be used to create a response surface based a set of observations of a computationally expensive system design analysis. This Kriging model can then be used as a computationally efficient surrogate to the original model, providing the opportunity for the rapid exploration of the resulting tradespace. The Kriging model can provide a more complex response surface than the more traditional linea

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41

Perryman, Noah, Alan George, Justin Goodwill, Sebastian Sabogal, David Wilson, and Christopher Wilson. "Comparative Analysis of Next-Generation Space Computing Applications on AMD-Xilinx Versal Architecture." Journal of Aerospace Information Systems, December 2, 2024, 1–13. https://doi.org/10.2514/1.i011455.

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Space computing has unique considerations that limit the achievable performance capabilities of onboard processing. Due to these limiting factors, current state-of-the-art devices for space computing are unable to meet the performance and energy-efficiency requirements for next-generation communication, navigation, and artificial-intelligence applications planned for future science and exploration missions. Space designers are transitioning to domain-specific architectures with specialized acceleration hardware, such as the AMD-Xilinx Versal Adaptive System-on-Chip, to address these issues. Th

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42

Gorr, Ben, Vinay Ravindra, Amer Melebari, et al. "Multi-Objective Optimization of an Intelligent Soil-Moisture-Monitoring Satellite Constellation." Journal of Spacecraft and Rockets, March 21, 2023, 1–13. http://dx.doi.org/10.2514/1.a35558.

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In early satellite mission design, requirements are not yet fixed, cost is sometimes negotiable, and designs are relatively unconstrained. During this period of design freedom, multi-objective optimization can provide a useful lens into the design space by showing theoretical performance limits and illuminating design tradeoffs. This work optimizes a radar constellation for a potential soil moisture mission. Several different optimization cases with different variables are considered and contrasted. The optimization of the instrument and constellation parameters is considered jointly and separ

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