Limitations of Design Space-Based Indicators for Early Robustness Assessment

Herle Bagh Juul-Nyholm*, Nökkvi S. Sigurdarson, Martin Ebro, Tobias Eifler

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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    This paper seeks to address the gap between qualitative Robust Design principles and parameter optimization. The former often fails to consider the challenging amount of details in embodiment and configuration design, while the latter is the widely accepted main thrust in traditional Robust Design. The gap is addressed by exploring the value of five quantitative robustness indicators for Design Space Exploration based on variables, objectives and constraints: The set level indicators, Design Space Size and Pareto Set Dispersion, and the point level indicators, Neighbourhood Performance, Failure Rate and Distance to Failure. As a background for the discussion of the limitations of these indicators an industrial case is presented. The case is an incremental encoder and includes two configurations for comparison, five objectives, eight variables, and a range of constraints. The design spaces are sampled and they show conflicting objectives, dispersed spaces and variables dependencies. Based on this it is suggested that set level indicators are more suitable than point level indicators of early robustness evaluation, but the available indicators are limited in their considerations of design space discontinuity and conflicts.
    Original languageEnglish
    Title of host publicationProceedings of the Design Society
    PublisherCambridge University Press
    Publication date2021
    Publication statusPublished - 2021
    Event23rd International Conference on Engineering Design (ICED21) - Chalmers University of Technology, Gothenburg, Sweden
    Duration: 16 Aug 202120 Aug 2021


    Conference23rd International Conference on Engineering Design (ICED21)
    LocationChalmers University of Technology

    Bibliographical note

    This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (, 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.


    • Robust design
    • Computational design methods
    • Evaluation
    • Design Space Exploration
    • Configuration Design


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