Big Data Analytics for Industrial Process Control

Research output: Research - peer-reviewArticle in proceeding

Abstract

Today, in modern factories, each step in manufacturing produces a bulk of valuable as well as highly precise information. This provides a great opportunity for understanding the hidden statistical dependencies in the process. Systematic analysis and utilization of advanced analytical methods can lead towards more informed decisions. In this article we discuss some of the challenges related to big data analysis in manufacturing and relevant solutions to some of these challenges.
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Today, in modern factories, each step in manufacturing produces a bulk of valuable as well as highly precise information. This provides a great opportunity for understanding the hidden statistical dependencies in the process. Systematic analysis and utilization of advanced analytical methods can lead towards more informed decisions. In this article we discuss some of the challenges related to big data analysis in manufacturing and relevant solutions to some of these challenges.
Original languageEnglish
Title of host publicationIEEE 22nd Conference on Emerging Technologies & Factory Automation
Publication date2017
StateAccepted/In press - 2017
Publication categoryResearch
Peer-reviewedYes
EventIEEE Conference on Emerging Technologies & Factory Automation - Limassol, Cyprus
Duration: 12 Sep 201715 Sep 2017
https://www.etfa2017.org/

Conference

ConferenceIEEE Conference on Emerging Technologies & Factory Automation
LandCyprus
ByLimassol
Periode12/09/201715/09/2017
Internetadresse

    Research areas

  • Big data analytics for industrial process , Cloud Computing, Data Mining, Genetic Algorithm

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ID: 250241967