Abstract

The manufacturing industry represents a data rich environment, in which larger and larger volumes of data are constantly being generated by its processes. However, only a relatively small portion of it is actually taken advantage of by manufacturers. As such, the proposed Intelligent Data Analysis and Real-Time Supervision (IDARTS) framework presents the guidelines for the implementation of scalable, flexible and pluggable data analysis and real-time supervision systems for manufacturing environments. IDARTS is aligned with the current Industry 4.0 trend, being aimed at allowing manufacturers to translate their data into a business advantage through the integration of a Cyber-Physical System at the edge with cloud computing. It combines distributed data acquisition, machine learning and run-time reasoning to assist in fields such as predictive maintenance and quality control, reducing the impact of disruptive events in production.

Original languageEnglish
Pages (from-to)138-146
Number of pages9
JournalComputers in Industry
Volume101
DOIs
Publication statusPublished - 1 Oct 2018

Keywords

  • Cyber-physical systems
  • Data analytics
  • Industry 4.0
  • Multi- agent systems
  • Predictive manufacturing systems

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