Support Product Development Framework by Means of Set of Experience Knowledge Structure (SOEKS) and Decisional DNA - Publication - Bridge of Knowledge

Search

Support Product Development Framework by Means of Set of Experience Knowledge Structure (SOEKS) and Decisional DNA

Abstract

In this paper, we propose a framework to support product development activi-ties by utilizing Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). This idea will provide a new direction to researchers working on product development, especially designers and manufacturers. They will be working on the same platform and this will be reducing their communication gap. Once the final idea is perceived about product development, it will be easy to de-sign and manufacture it quickly and efficiently. Early consideration of manufac-turing issues can shorten product development cycle time, minimize overall de-velopment cost, and ensure a smooth transition into production. In the product development process, knowledge of previous products and processes is very im-portant as product development requires both knowledge and experience. This framework will store knowledge in the form of experiences of past decisions, and the system will update itself after every decision is taken.

Citations

  • 0

    CrossRef

  • 0

    Web of Science

  • 0

    Scopus

Authors (3)

Cite as

Full text

full text is not available in portal

Keywords

Details

Category:
Monographic publication
Type:
rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
Title of issue:
Modern Approaches for Intelligent Information and Database Systems strony 257 - 267
Language:
English
Publication year:
2018
Bibliographic description:
Szczerbicki E., Ahmed M., Sanin C.: Support Product Development Framework by Means of Set of Experience Knowledge Structure (SOEKS) and Decisional DNA// Modern Approaches for Intelligent Information and Database Systems/ ed. Sieminski, Kozierkiewicz, Nunez, Ha : , 2018, s.257-267
DOI:
Digital Object Identifier (open in new tab) 10.1007/978-3-319-76081-0_22
Verified by:
Gdańsk University of Technology

seen 91 times

Recommended for you

Meta Tags