Designing Intelligent Factory: Conceptual Framework and Empirical Validation

Title
Designing Intelligent Factory: Conceptual Framework and Empirical Validation
Publication Date
2016
Author(s)
Shafiq, Syed Imran
Velez, Gorka
Toro, Carlos
Sanin, Cesar
( author )
OrcID: https://orcid.org/0000-0001-8515-417X
Email: cmaldon3@une.edu.au
UNE Id une-id:cmaldon3
Szczerbicki, Edward
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
Elsevier BV
Place of publication
The Netherlands
DOI
10.1016/j.procs.2016.09.351
UNE publication id
une: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.

Link
Citation
Procedia Computer Science, v.96, p. 1801-1808
ISSN
1877-0509
Start page
1801
End page
1808
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International

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