Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/61849
Title: | Experience-Based Decisional DNA (DDNA) to Support Product Development |
Contributor(s): | Ahmed, Muhammad Bilal (author); Sanin, Cesar (author) ; Szczerbicki, Edward (author) |
Publication Date: | 2018 |
Early Online Version: | 2018-01-22 |
DOI: | 10.1080/01969722.2017.1418743 |
Handle Link: | https://hdl.handle.net/1959.11/61849 |
Abstract: | | Knowledge and experience are important requirements for product development. The aim of this paper is to propose a systematic approach for industrial product development. This approach uses smart knowledge management system comprising of set of experience knowledge structure and decisional DNA (DDNA) along with virtual engineering tools (virtual engineering object, virtual engineering process, and virtual engineering factory). This system provides a new direction to researchers working on product development, especially designers and manufacturers. It will reduce their communication gap by allowing them to work on the same platform. The proposed system adopts an early consideration of manufacturing issues. Therefore, it can shorten product development cycle time, minimize overall development cost, and ensure a smooth transition into production. The proposed system is dynamic in nature because it updates itself after every time a new decision related to product development activity is made. Product development process can be performed systematically and efficiently using this system as it stores knowledge of experiences of different activities.
Publication Type: | Journal Article |
Source of Publication: | Cybernetics and Systems, 49(5-6), p. 399-411 |
Publisher: | Taylor & Francis Inc |
Place of Publication: | United States of America |
ISSN: | 1087-6553 0196-9722 |
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
|
Files in This Item:
1 files
Show full item record
Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.