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Abstract
This paper presents a semi-automatic system capable of facilitating product innovation process. This system, known as Smart Innovation Engineering (SIE) system, helps in decision-making by using the explicit knowledge of formal decision events. The SIE system carries the promise to support the innovation processes of manufactured products in a quick and efficient way. It stores and reuses the past decisional events or sets of experiences related to innovation issues, which significantly enhances innovation progression. This system can be potentially used in large enterprises manufacturing a range of similar products or a group of Small and medium-sized enterprises (SMEs). The analysis of basic concepts and implementation method proves that SIE system is an expert system facilitating Cyber Physical Systems (CPS) and it can play a vital role towards Industry 4.0. This system provides flexibility and customization of products, is quick and systematic, and can be further extended and used for lean innovation and sustainable innovation.
Citations
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3
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Web of Science
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9
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Authors (3)
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Mohammad Waris
- University of Newcastle School of Engineering
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Cesar Sanin
- University of Newcastle School of Engineering
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- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Published in:
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Advances in Intelligent Systems and Computing
no. 657,
pages 379 - 388,
ISSN: 2194-5357 - Title of issue:
- Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017 strony 379 - 388
- Language:
- English
- Publication year:
- 2018
- Bibliographic description:
- Waris M., Sanin C., Szczerbicki E..: Smart Innovation Engineering (SIE): Experience-Based Product Innovation System for Industry 4.0, W: Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology – ISAT 2017, 2018, Springer,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-319-67223-6_36
- Verified by:
- Gdańsk University of Technology
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