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

  • Zhuo Hu
  • Congjun RaoEmail author
  • Chongyuan Tao
  • Peter R. N. Childs
  • Yong Zhao
Article
  • 223 Downloads

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.

Keywords

Product conceptual design Decision-making Case-based decision theory (CBDT) Theory of inventive problem solving (TRIZ) 

Notes

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Nos. 61703317, 71671135, 71371148, and 71603197), the Fundamental Research Funds for the Central Universities (WUT: 2017VI026), the National Social Science Foundation of China (No. 16ZDA045).

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Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  • Zhuo Hu
    • 1
  • Congjun Rao
    • 2
    Email author
  • Chongyuan Tao
    • 1
  • Peter R. N. Childs
    • 3
  • Yong Zhao
    • 4
  1. 1.School of AutomationWuhan University of TechnologyWuhanChina
  2. 2.School of ScienceWuhan University of TechnologyWuhanChina
  3. 3.Dyson School of Design EngineeringImperial College LondonLondonUK
  4. 4.Institute of Systems EngineeringHuazhong University of Science and TechnologyWuhanChina

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