- Title
- A semiautomatic experience-based tool for solving product innovation problem
- Creator
- Waris, Mohammad Maqbool; Sanín, Cesar; Szczerbicki, Edward; Shafiq, Syed Imran
- Relation
- Cybernetics and Systems Vol. 48, Issue 3, p. 231-248
- Publisher Link
- http://dx.doi.org/10.1080/01969722.2016.1276776
- Publisher
- Taylor & Francis
- Resource Type
- journal article
- Date
- 2017
- Description
- In this paper, we present the idea of Smart Innovation Engineering (SIE) System and its implementation methodology. The SIE system is semiautomatic 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. The system gains expertise each time a decision is taken and stored 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 and Decisional DNA 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.
- Subject
- Decisional DNA; product design; product innovation; set of experience; smart innovation engineering
- Identifier
- http://hdl.handle.net/1959.13/1399587
- Identifier
- uon:34635
- Identifier
- ISSN:0196-9722
- Language
- eng
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