Smart Innovation Engineering: Toward Intelligent Industries of the Future |
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| Authors: | Mohammad Maqbool Waris Cesar Sanin Edward Szczerbicki |
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| Affiliation: | 1. Department of Mechanical Engineering, University of Newcastle, Callaghan, NSW, AustraliaMohammadMaqbool.Waris@uon.edu.au;3. Department of Mechanical Engineering, University of Newcastle, Callaghan, NSW, Australia;4. Faculty of Management and Economics, Gdansk University of Technology, Gdansk, Poland |
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| Abstract: | ABSTRACTKnowledge-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. This paper presents a system called smart innovation engineering (SIE) capable of facilitating product innovation process semi-automatically. It enhances decision-making processes 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 past decisional events or sets of experiences related to innovation issues, which significantly enhances innovation progression. 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 toward Industry 4.0 development. |
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| Keywords: | Cyber physical system decisional DNA Industry 4 0 product innovation set of experience smart innovation engineering |
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