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)orcid ; 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

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