- Title
- Designing intelligent factory: conceptual framework and empirical validation
- Creator
- Shafiq, Syed Imran; Velez, Gorka; Toro, Carlos; Sanin, Cesar; Szczerbicki, Edward
- Relation
- 20th International Conference on Knowledge Based and Intelligent Information and Engineering Systems. Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 20th International Conference KES-2016 (York, UK 05-07 September, 2016) p. 1801-1808
- Publisher Link
- http://dx.doi.org/10.1016/j.procs.2016.09.351
- Publisher
- Elsevier BV
- Resource Type
- conference paper
- Date
- 2016
- Description
- This paper presents a framework for monitoring, analysing and decision making for a smart manufacturing environment. We maintain that this approach could play a vital role in developing an architecture and implementation of Industry 4.0. The proposed model has features like experience based knowledge representation and semantic analysis of engineering objects and manufacturing process. It is also capable of continuous real time visualization of key performance indicators (KPI's) and supports M2M communications over novel protocols like OPC-UA. Our model covers the industrial manufacturing cycle right from capturing raw data at machine level, converting it into useful information, doing semantics analysis and performs real time KPI visualization.
- Subject
- virtual engineering object (VEO); virtual engineering process (VEP); set of knowledge expeience structure (SOEKS); decisional DNA; OPC-UA; SDG 9; Sustainable Development Goals
- Identifier
- http://hdl.handle.net/1959.13/1449349
- Identifier
- uon:43645
- Identifier
- ISSN:1877-0509
- Rights
- © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
- Language
- eng
- Full Text
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Goal 9: Industry, Innovation and Infrastructure
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