Search
Abstract
In this paper we present the idea of Smart Innovation Engineering (SIE) System and its implementation methodology. The SIE system is semi-automatic system that helps in carrying the process of product innovation. It collects the experiential knowledge from the formal decisional events. This experiential knowledge is collected 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 from similar products as well as reuses this experiential knowledge that ultimately enhances the innovation process of manufactured goods. Moreover, with SIE in hand entrepreneurs and manufacturing organizations will be able to take proper, enhanced decisions and most importantly at appropriate time. This expertise is ever increasing as every decision taken is stored in SIE system in the form of set of experience that can be used in future for similar queries. Implementation of the SIE System using Set of Experience Knowledge Structure (SOE) and Decisional DNA (DDNA) for case study suggests that the SIE system is capable of capturing and reusing the innovation related experiences of the manufactured products. The case study confirmed that the SIE system can be beneficial for entrepreneurs and manufacturing organizations for efficient decision-making in the product innovation process.
Citations
-
9
CrossRef
-
0
Web of Science
-
9
Scopus
Authors (3)
-
Mohammad Waris
- Newcastle University Mechanical Engineering
-
Cesar Sanín
- Newcastle University Machanical Engineering
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1080/01969722.2016.1276776
- License
-
open in new tab
Keywords
Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
CYBERNETICS AND SYSTEMS
no. 48,
edition 3,
pages 231 - 248,
ISSN: 0196-9722 - Language:
- English
- Publication year:
- 2017
- Bibliographic description:
- Waris M., Sanín C., Szczerbicki E.: A Semiautomatic Experience-Based Tool for Solving Product Innovation Problem// CYBERNETICS AND SYSTEMS. -Vol. 48, iss. 3 (2017), s.231-248
- DOI:
- Digital Object Identifier (open in new tab) 10.1080/01969722.2016.1276776
- Verified by:
- Gdańsk University of Technology
seen 155 times
Recommended for you
Enhancing Product Innovation Through Smart Innovation Engineering System
- M. Waris,
- C. Sanin,
- E. Szczerbicki
Experience based decisional DNA to support smart product design
- M. Ahmed,
- C. Sanin,
- S. I. Shafiq
- + 1 authors
Smart Innovation Engineering Using Set of Experience and Decisional DNA
- M. Waris,
- C. Sanin,
- E. Szczerbicki