HOW INDUSTRIAL ANALYTICS BACKED BY IOT WILL TRANSFORM MANUFACTURING INDUSTRY:

Authors

  • Arijit Das, Pramod Damle

Abstract

In the present scenario of Industry 4.0, a large volume of data is being generated
everyday in the manufacturing industry. The large equipment that operating in the industry are
generating huge data daily. Industrial Analytics (IA) tackles the collection of data that is created
during manufacturing process and analysis of that data to find and capture unique patterns that
can increase the productivity and help the company towards effective decision making. Industrial
Analytics need IoT sensors to work effectively and these sensors are responsible for capturing
the data required for the analysis and finding out unique patterns. Industrial Analytics based on
IoT will not only improve the whole process of manufacturing, it will also increase the overall
efficiency and productivity, better quality assurance and also improve the workers’ safety.
Industrial Analytics based on IoT is being extensively used for the purpose of Predictive
maintenance of the large industrial equipment/machines. This research discusses the process of
how Industrial Analytics is being used for the purpose of predictive maintenance, related types
and workflows, current market growth and future, limitations of predictive maintenance. The
paper also discusses few cases where industrial analytics was successfully implemented.

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Published

2020-12-01

How to Cite

Arijit Das, Pramod Damle. (2020). HOW INDUSTRIAL ANALYTICS BACKED BY IOT WILL TRANSFORM MANUFACTURING INDUSTRY:. PalArch’s Journal of Archaeology of Egypt / Egyptology, 17(6), 4515 - 4531. Retrieved from http://mail.palarch.nl/index.php/jae/article/view/1701