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TEXT MINING OF RESILIENT OBJECTS ABSORBING CHANGE AND UNCERTAINTY

Published online by Cambridge University Press:  19 June 2023

Massimo Panarotto ,
Vito Giordano ,
Filippo Chiarello ,
Arindam Brahma ,
Inigo Alonso Fernández  and
Gualtiero Fantoni
Massimo Panarotto*
Affiliation:
Chalmers University of Technology;
Vito Giordano
Affiliation:
University of Pisa
Filippo Chiarello
Affiliation:
University of Pisa
Arindam Brahma
Affiliation:
Chalmers University of Technology;
Inigo Alonso Fernández
Affiliation:
Chalmers University of Technology;
Gualtiero Fantoni
Affiliation:
University of Pisa
*
Panarotto, Massimo, Chalmers University of Technology, Sweden, massimo.panarotto@chalmers.se

Abstract

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The current ways of coping with uncertainty such as changes during product design or use have been through methods such as easy restructuring (e.g., modularity with buffer in interface definition), by overdesign and so on. The present investments on maintaining products in the economy for “as long as possible” is challenging these strategies from a cost and environmental perspective. Moreover, these strategies often lead to highly overdesigned products. An alternative strategy is to introduce features in a design, called “resilient objects”, which are able to absorb such uncertainties without wasteful overdesign of other parts. By applying a ‘text-mining’ approach on patents, this paper has identified 5,552 candidates for such resilient objects that can be recombined and inserted in regions of the product that are likely to be most affected by current and future uncertainties. The application of resilient objects is demonstrated on a case study (a cooling system for battery electric vehicles). The case study highlights the ability of these objects to 1) significantly increase protection against uncertainties without the need for restructuring, 2 ) reduce the risk for overdesign and 3) dampen effects of change propagation.

Keywords

Resilient objectsSemantic data processingTech miningProduct architectureUncertainty
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 3325 - 3334
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), 2023. Published by Cambridge University Press

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