A case-based decision theory based process model to aid product conceptual design

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Title: A case-based decision theory based process model to aid product conceptual design
Author(s): Hu, Z
Rao, C
Tao, C
Childs, PRN
Zhao, Y
Item Type: Journal Article
Abstract: In new product development, the rapid proposal of innovative solutions represents an important phase. This in turn relies on creative ideas, their evaluation, refinement and embodiment of worthwhile directions. This study aims to describe a CBDT based process model for product conceptual design that concentrates on rapidly generating innovations with the support of decision-making rationale. Case-based decision theory (CBDT), derived from case-based reasoning, is applied in this paper as a core method to aid design engineers to make an informed decision quickly, thus accelerating the design process. In the process of utilizing CBDT to support a decision, as for the similarity function, the proper value assignment methods to the selected attribute set for calculation are discussed. In order to assist with innovative solution, aspects of the theory of inventive problem solving (TRIZ) are integrated into the case-based reasoning process. Accordingly, a CBDT-TRIZ model is developed. Quality-function deployment is used to translate customer wants into relevant engineering design requirements and thus formulating the design specification. Image-Scale is used to offer an orthogonal coordinates system to aid evaluation. Finally, a case study is used to demonstrate the validity of the proposed process model based on the design of a cordless hand-tool for garden and lawn applications.
Publication Date: 19-Sep-2017
Date of Acceptance: 25-Aug-2017
URI: http://hdl.handle.net/10044/1/58267
DOI: https://dx.doi.org/10.1007/s10586-017-1190-z
ISSN: 1386-7857
Start Page: 1
End Page: 18
Journal / Book Title: Cluster Computing
Copyright Statement: © Springer Science+Business Media, LLC 2017. The final publication is available at Springer via https://link.springer.com/article/10.1007%2Fs10586-017-1190-z
Keywords: Distributed Computing
Publication Status: Published online
Appears in Collections:Dyson School of Design Engineering



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