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Cluster Computing

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19-09-2017

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

Authors: Zhuo Hu, Congjun Rao, Chongyuan Tao, Peter R. N. Childs, Yong Zhao

Published in: Cluster Computing | Special Issue 4/2019

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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.

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Title: A case-based decision theory based process model to aid product conceptual design
Authors: Zhuo Hu
Congjun Rao
Chongyuan Tao
Peter R. N. Childs
Yong Zhao
Publication date: 19-09-2017
Publisher: Springer US
Published in: Cluster Computing / Issue Special Issue 4/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-017-1190-z

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