Products are often optimized for most likely conditions, but unexpected variations can render designs ineffective. Using examples from engineering systems, this paper explores the benefits of leveraging non-linear payoff functions, where small changes in conditions lead to disproportionate outcomes. By analyzing the direction and curvature of these functions near observed boundaries, designers could gain an understanding of behavior beyond expected ranges. Non-linear modeling can aid in assessing design margins, especially in long-lived systems. Integrating this approach into design processes can be helpful and effective in considering the preparedness of a system in the face of unexpected events of different natures.

Prepare for the unexpected: design with a non-linear payoff function

Panarotto, Massimo;Cascini, Gaetano
2025-01-01

Abstract

Products are often optimized for most likely conditions, but unexpected variations can render designs ineffective. Using examples from engineering systems, this paper explores the benefits of leveraging non-linear payoff functions, where small changes in conditions lead to disproportionate outcomes. By analyzing the direction and curvature of these functions near observed boundaries, designers could gain an understanding of behavior beyond expected ranges. Non-linear modeling can aid in assessing design margins, especially in long-lived systems. Integrating this approach into design processes can be helpful and effective in considering the preparedness of a system in the face of unexpected events of different natures.
2025
25th International Conference on Engineering Design, ICED 2025
complexity; design for x (DfX); design resilience; non-linear payoff functions; robust design;
complexity
design for x (DfX)
robust design
design resilience
non-linear payoff functions
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1297666
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