Smart Innovation Engineering Using Set of Experience and Decisional DNA

Title
Smart Innovation Engineering Using Set of Experience and Decisional DNA
Publication Date
2020
Author(s)
Waris, Mohammad Maqbool
Sanin, Cesar
( author )
OrcID: https://orcid.org/0000-0001-8515-417X
Email: cmaldon3@une.edu.au
UNE Id une-id:cmaldon3
Szczerbicki, Edward
Editor
Editor(s): Edward Szczerbicki and Cesar Sanin
Type of document
Book Chapter
Language
en
Entity Type
Publication
Publisher
Springer
Place of publication
Switzerland
Edition
1
Series
Intelligent Systems Reference Library
DOI
10.1007/978-3-030-39601-5_7
UNE publication id
une:1959.11/61797
Abstract

Knowledge-based Engineering Systems are founded upon integration of knowledge into computer systems and are one of the core requirements for the future Industry 4.0. Since the fourth industrial revolution is passing through the developing phase, implementation of Cyber-Physical Production Systems require more realistic approach. Knowledge Management and Knowledge Engineering plays an important role in manufacturing industries facing global competition. One of the most promising areas where Knowledge Management is studied and applied is product innovation. This chapter presents the idea of Smart Innovation Engineering (SIE) System based on Set of Experience and Decisional DNA that facilitates the process of product innovation. It collects the experiential knowledge from the formal decisional event from the group of similar products having some common functions and features. The SIE system behaves like a group of experts in its domain as it collects, captures and stores the experiential knowledge and reuses this experiential knowledge as well that ultimately enhances the innovation process. The analysis of basic concepts and implementation method proves that SIE system is an advanced form of Cyber Physical Systems. It is flexible, systematic, fast, and supports customization. It can play a vital role towards Industry 4.0 development.

Link
Citation
Knowledge Management and Engineering with Decisional DNA, p. 201-248
ISBN
9783030396015
9783030396039
9783030396008
Start page
201
End page
248

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