Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61815
Title: Experience based decisional DNA to support smart product design
Contributor(s): Bilal Ahmed, Muhammad (author); Sanin, Cesar  (author)orcid ; Shafiq, Syed Imran (author); Szczerbicki, Edward (author)
Publication Date: 2019-12-23
DOI: 10.3233/JIFS-179330
Handle Link: https://hdl.handle.net/1959.11/61815
Abstract: 

This paper presents the idea of Smart Virtual Product Development (SVPD) system to support product design. The foundations of the system are based upon smart knowledge management techniques called Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). It enhances the industrial product development process by using the previous experiential knowledge gathered from the formal decisional activities. This experiential knowledge is collected from the group of similar products having some common functions and features. The developed system comprises of three modules: design knowledge management (DKM), manufacturing capability analysis and process planning (MCAPP), and product inspection planning (PIP). The working of design knowledge management module is presented in this study and is validated by using an industrial case study, which suggests that it is capable of capturing and reusing the required design knowledge for material selection process. The developed system has the capability to facilitate decision making and mistake proofing during early stages of product design. It can be beneficial for small and medium enterprises (SMEs) involved in product development.

Publication Type: Journal Article
Source of Publication: Journal of Intelligent and Fuzzy Systems, 37(6), p. 7179-7187
Publisher: IOS Press
Place of Publication: The Netherlands
ISSN: 1875-8967
1064-1246
Fields of Research (FoR) 2020: 4602 Artificial intelligence
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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