Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-22T17:27:03.101Z Has data issue: false hasContentIssue false

ALIGNING FUNCTIONAL ANALYSIS PROCESSES WITH DESIGNERS' NATURAL COGNITIVE FLOW

Published online by Cambridge University Press:  19 June 2023

Hunter Scott Reeling*
Affiliation:
Miami University
Jinjuan She
Affiliation:
Miami University
*
Reeling, Hunter Scott, Miami University, United States of America, [email protected]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Engineering design in new product development is a constant battle between creativity and strict structure. As researchers look to optimize the process, each stage is placed under a microscope to put designers in the best position to develop better products for companies in a cost effective manner. One idea in improving product development is the concept of incorporating the Human-centered Design into functional analysis. However, critiques of these functional analysis methods cite an unnecessary amount of resources needed to invest in these steps, a restriction in creativity, and a high necessary level of effort from the design teams. The goal of this research will be to address these critiques by incorporating theories from cognitive research and Human-centered Design into the functional analysis process. This work will propose a new method aimed to improve the quality of the function model of the design space, increase the creativity freedom of the designers, and be accessible to engineering students and industry engineers alike.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

References

Aurisicchio, M., Bracewell, R., & Armstrong, G. (2013). The function analysis diagram: Intended benefits and coexistence with other functional models. AI EDAM, 27(3), 249257.Google Scholar
Booth, J.W., Reid, T.N., Eckert, C. and Ramani, K. (2015), “Comparing Functional Analysis Methods for Product Dissection Tasks”, Journal of Mechanical Design, Transactions of the ASME, Vol. 137 No. 8, available at:https://doi.org/10.1115/1.4030232.CrossRefGoogle Scholar
Caldwell, B.W., Ramachandran, R. and Mocko, G.M. (2012), “Assessing the use of function models and interaction models through concept sketching”, Proceedings of the ASME Design Engineering Technical Conference, Vol. 7, available at:https://doi.org/10.1115/DETC2012-71374.CrossRefGoogle Scholar
Chammas, A., Quaresma, M. and Mont'Alvão, C. (2015), “A Closer Look on the User Centred Design”, Procedia Manufacturing, Vol. 3, available at:https://doi.org/10.1016/j.promfg.2015.07.656.CrossRefGoogle Scholar
Chi, M.T.H., Feltovich, P.J. and Glaser, R. (1981), “Categorization and Representation of Physics Problems by Experts and Novices*”, Cognitive Science, John Wiley & Sons, Ltd, Vol. 5 No. 2, pp. 121152.Google Scholar
Gericke, K. and Eisenbart, B. (2017), “The integrated function modeling framework and its relation to function structures”, Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM, Vol. 31 No. 4, available at:https://doi.org/10.1017/S089006041700049X.CrossRefGoogle Scholar
Jansson, D.G. and Smith, S.M. (1991), “Design fixation”, Design Studies, Vol. 12 No. 1, available at:https://doi.org/10.1016/0142-694X(91)90003-F.CrossRefGoogle Scholar
Kahneman, D. (2011), Thinking, Fast and Slow., Thinking, Fast and Slow., Farrar, Straus and Giroux, New York, NY, US.Google Scholar
Kannengiesser, U. and Gero, J.S. (2019), “Design thinking, fast and slow: A framework for Kahneman's dual-system theory in design”, Design Science, Vol. 5, available at:https://doi.org/10.1017/dsj.2019.9.CrossRefGoogle Scholar
Knisely, B.M. and Vaughn-Cooke, M. (2022), “Accessibility Versus Feasibility: Optimizing Function Allocation for Accommodation of Heterogeneous Populations”, Journal of Mechanical Design, Vol. 144 No. 3, available at:https://doi.org/10.1115/1.4052512.CrossRefGoogle Scholar
Poirson, E., Petiot, J.F. and Gilbert, J. (2007), “Integration of user perceptions in the design process: Application to musical instrument optimization”, Journal of Mechanical Design, Transactions of the ASME, Vol. 129 No. 12, available at:https://doi.org/10.1115/1.2790969.CrossRefGoogle Scholar
Ramachandran, R. (2011), Understanding the Role of Functions and Interactions in the Product Design Process, Department of Mechanical Engineering.Google Scholar
Reyna, V.F. (2012), “A new intuitionism: Meaning, memory, and development in fuzzy-trace theory”, Judgment and Decision Making, Vol. 7 No. 3.CrossRefGoogle ScholarPubMed
She, J., Belanger, E., Bartels, C. and Reeling, H. (2022), “Improve Syntax Correctness and Breadth of Design Space Exploration in Functional Analysis”, Journal of Mechanical Design, Vol. 144 No. 11, available at:https://doi.org/10.1115/1.4054875.CrossRefGoogle Scholar
Strimel, G. (2014), Engineering Design: A Cognitive Process Approach, Old Dominion University.Google Scholar
Ulman, D.G. (2008), Mechanical Desgin Process, Higher Education.Google Scholar