Abstract
Conceptual design methods rarely optimize both requirement fit and cross-principle compatibility, leaving a gap in generating coherent early-stage solutions. Here, we introduce a mixed-integer linear programming formulation that selects one solution principle per function while jointly minimizing local requirement mismatch and system-level incompatibility. Using a small case study, we show how a trade-off parameter controls the balance between functional quality and integration robustness. The results demonstrate that the approach enables transparent, compatibility-aware conceptual synthesis.
| Original language | English |
|---|---|
| Journal | Proceedings of the Design Society |
| Volume | 6 |
| Pages (from-to) | 577-586 |
| Number of pages | 10 |
| DOIs | |
| Publication status | Published - 08.2026 |
| Event | 19th International Design Conference - DESIGN 2026 - Dubrovnik, Croatia Duration: 18.05.2026 → 26.05.2026 Conference number: 19 https://www.designconference.org/ |
Bibliographical note
Publisher Copyright:© The Author(s), 2026.
Research areas and keywords
- conceptual design
- functional modelling
- mixed-integer linear programming
- solution principles
- Informatics
ASJC Scopus Subject Areas
- Software
- Modelling and Simulation
- Computer Science Applications
- Computer Graphics and Computer-Aided Design
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