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Compatibility-optimized selection of solution principles using mixed-integer linear programming

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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 languageEnglish
JournalProceedings of the Design Society
Volume6
Pages (from-to)577-586
Number of pages10
DOIs
Publication statusPublished - 08.2026
Event19th International Design Conference - DESIGN 2026 - Dubrovnik, Croatia
Duration: 18.05.202626.05.2026
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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