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Data Analytics in Industry 4.0: A Survey
1Department of Information Systems and Business Analytics, Hofstra University, Hempstead, NY USA.
Information Systems Frontiers : a Journal of Research and Innovation
|August 30, 2021
Summary
Industry 4.0, the fourth industrial revolution, merges with data analytics for smarter manufacturing. This research explores their intersection, identifying key topics and trends in decentralized production and resource efficiency.
Area of Science:
- Industrial Engineering and Operations Research
- Computer Science and Information Systems
Background:
- Industry 4.0 signifies a shift towards decentralized manufacturing, emphasizing on-demand production and resource efficiency.
- Data analytics provides techniques for extracting actionable insights from large datasets to support informed decision-making.
- The synergy between Industry 4.0 and data analytics is crucial for enhancing operational performance and data collection.
Purpose of the Study:
- To introduce fundamental concepts of Industry 4.0 and data analytics.
- To deconstruct the integration of Industry 4.0 and data analytics into industry sectors, cyber-physical systems, and analytic methods.
- To systematically review existing research and identify trends at the intersection of Industry 4.0 and data analytics.
Main Methods:
- Introduction of core concepts in Industry 4.0 and data analytics.
- Decomposition of the merge into three key components: industry sectors, cyber-physical systems, and analytic methods.
- Systematic literature review to analyze research efforts and trends.
Main Results:
- Exploration of joint research efforts across different intersections of the three components.
- Identification of current research focus and emerging trends in the combined field.
- Discussion of the interplay between Industry 4.0 principles and data analytics methodologies.
Conclusions:
- The integration of Industry 4.0 and data analytics is a rapidly evolving research area.
- Understanding this intersection is vital for advancing smart manufacturing and resource efficiency.
- Further research is needed to fully leverage the combined potential of these fields.
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