TEXT MINING OF RESILIENT OBJECTS ABSORBING CHANGE AND UNCERTAINTY
Paper in proceeding, 2023

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.

Resilient objects

Semantic data processing

Tech mining

Product architecture

Uncertainty

Author

Massimo Panarotto

Chalmers, Industrial and Materials Science, Product Development

Vito Giordano

University of Pisa

Filippo Chiarello

University of Pisa

Arindam Brahma

Chalmers, Industrial and Materials Science, Product Development

Iñigo Alonso Fernandez

Chalmers, Industrial and Materials Science, Product Development

Gualtiero Fantoni

University of Pisa

Proceedings of the Design Society

2732527X (eISSN)

Vol. 3 3325-3334

24th International Conference on Engineering Design, ICED 2023
Bordeaux, France,

VISP - Value and flexibility Impact analysis for Sustainable Production

FFI - Strategic Vehicle Research and Innovation (2018-02692), 2018-10-01 -- 2022-09-30.

VINNOVA (2018-02692), 2018-10-01 -- 2022-09-30.

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Other Engineering and Technologies not elsewhere specified

DOI

10.1017/pds.2023.333

More information

Latest update

1/3/2024 9