Adrian Xiao’s research while affiliated with University of Calgary and other places

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Publications (1)


A Comparison of Concept Selection in Concept Scoring and Axiomatic Design Methods
  • Article

August 2011

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1,619 Reads

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24 Citations

Proceedings of the Canadian Engineering Education Association (CEEA)

Adrian Xiao

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Theo Freiheit

The appropriate selection of design concepts has a strong influence on product cost, durability, robust-ness and functionality. Effective tools to identify good design concepts are critical. Different design method-ologies have different objectives to aid in making the right decision. Some design methods are complemen-tary, whereas others may provide contradictory results. In this study, two design methods, concept scoring and axiomatic design, are compared for their ability to obtain good design concepts. Conceptual designs of micro-pumps, which provide pressure gradients to actuate the flow of liquids and gas, are used to evalu-ate the design methods. Metrics are used to compare these two design methodologies' abilities to achieve objective evaluations. The concept scoring method is easy to use, especially when comparing different de-signs. The axiomatic design method provides a struc-tured and mathematical design evaluation; however, achieving good design through the uncoupling or de-coupling of matrices is challenging. Further study is required to integrate these two design methods.

Citations (1)


... In a third iteration of READIT, for example, algorithmic approaches to detect paralinguistic features like sarcasm (e.g., Xiao et al. 2024) may be considered to supplement human capabilities in handling voluminous social media content, but may entail trade-offs between Uncertainty and Accuracy. Experienced design teams can struggle with groupthink and selection biases towards or against design solution spaces to address MAST and system functionality goals; this is why we suggest the use of formal decision-making tools and strategies throughout the PADTHAI-MM design process (e.g., Hauser and Clausing 1988;Xiao, Park, and Freiheit 2011). We posit that there is contextual variability inherent in assigning MAST rating goals and their relative weights against system functionality goals. ...

Reference:

PADTHAI‐MM: Principles‐based approach for designing trustworthy, human‐centered AI using the MAST methodology
A Comparison of Concept Selection in Concept Scoring and Axiomatic Design Methods
  • Citing Article
  • August 2011

Proceedings of the Canadian Engineering Education Association (CEEA)