Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61874
Title: Designing Intelligent Factory: Conceptual Framework and Empirical Validation
Contributor(s): Shafiq, Syed Imran (author); Velez, Gorka (author); Toro, Carlos (author); Sanin, Cesar  (author)orcid ; Szczerbicki, Edward (author)
Publication Date: 2016
Open Access: Yes
DOI: 10.1016/j.procs.2016.09.351
Handle Link: https://hdl.handle.net/1959.11/61874
Abstract: 

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.

Publication Type: Conference Publication
Conference Details: KES 2016: 20th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, United Kindom, 5th - 7th September, 2016
Source of Publication: Procedia Computer Science, v.96, p. 1801-1808
Publisher: Elsevier BV
Place of Publication: The Netherlands
ISSN: 1877-0509
Fields of Research (FoR) 2020: 4602 Artificial intelligence
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Appears in Collections:Conference Publication
School of Science and Technology

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