Experience based decisional DNA to support smart product design

Title
Experience based decisional DNA to support smart product design
Publication Date
2019-12-23
Author(s)
Bilal Ahmed, Muhammad
Sanin, Cesar
( author )
OrcID: https://orcid.org/0000-0001-8515-417X
Email: cmaldon3@une.edu.au
UNE Id une-id:cmaldon3
Shafiq, Syed Imran
Szczerbicki, Edward
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
IOS Press
Place of publication
The Netherlands
DOI
10.3233/JIFS-179330
UNE publication id
une: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.

Link
Citation
Journal of Intelligent and Fuzzy Systems, 37(6), p. 7179-7187
ISSN
1875-8967
1064-1246
Start page
7179
End page
7187

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