Rediscovering the analysis of interconnected decision areas
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Multi-Agent System Process Control Ontology
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
UXDs-driven conceptual design process model for contradiction solving using CAIs
Computers in Industry
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
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The morphological matrix is a key methodology that can improve the effectiveness of the concept generation phase of the design process. However, as discussed in the paper, there are difficulties identifying independent design functions and determining the synergistic compatibility of combining solution alternatives. In order to address these difficulties, the authors extend the morphological matrix methodology by including the theory of coupling. A case study is presented to illustrate the overall methodology and its impact.