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In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.

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

Haddad, Meno-Said; Seibel, Arthur

Type:
Papers
DS 145: Proceedings of the DESIGN2026 19th International Design Conference
Year:
2026
Editor:
Štorga, M.; Škec, S.; Martinec, T.; Marjanović, D.; Pavković, N.
Author:
Haddad, Meno-Said; Seibel, Arthur
Series:
DESIGN
Institution:
Leuphana University Lüneburg, Germany
Page(s):
577-586
DOI number:
10.1017/pds.2026.10416
ISSN:
2732-527X (Online)
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.
Keywords:
conceptual design, functional modelling, solution principles, mixed-integer linear programming
DESIGN2026 - The 19th International Design Conference
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