Integrated Data and Knowledge Management as Key Factor for Industry 4.0

The Industry 4.0 paradigm has seen increased interest by scientific research. The emergence of new information and communication technologies (ICT) in manufacturing shop floors generates large quantities of data and information flows, leading to large databases and big data issues. To resolve these...

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Bibliographic Details
Published inIEEE engineering management review Vol. 47; no. 4; pp. 94 - 100
Main Authors Meski, Oussama, Belkadi, Farouk, Laroche, Florent, Ladj, Asma, Furet, Benoit
Format Journal Article
LanguageEnglish
Published New York IEEE 01.12.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers (IEEE)
Subjects
Big Data
Chemical and Process Engineering
Digital chain
Disruption
Engineering Sciences
Industries
Industry 4.0
Information flow
Interoperability
Knowledge management
Manufacturing
Monitoring
Production
Solid modeling
structuring
Industry 40
interoperability
Digital chain
knowledge management
structuring
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Summary:The Industry 4.0 paradigm has seen increased interest by scientific research. The emergence of new information and communication technologies (ICT) in manufacturing shop floors generates large quantities of data and information flows, leading to large databases and big data issues. To resolve these issues, there is a need of efficient data and knowledge management approaches to support the exploitation, sharing, and interpretation of useful data. This article discusses the topic of ICT implementation within an Industry 4.0 paradigm. This article identifies problems of digital chain disruption and the need for interoperability. A conceptual framework for the management and structuring of data and knowledge is proposed as a solution to address these concerns.
ISSN:0360-8581
1937-4178
DOI:10.1109/EMR.2019.2948589