International Journal of Industrial Engineering and Management

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Vol. 11 No. 3 (2020)
Original Research Article

Real-time Data Analytics Edge Computing Application for Industry 4.0: The Mahalanobis-Taguchi Approach

Bojana Bajic
Faculty of Technical Sciences, University of Novi Sad
Bio
Nikola Suzic
University of Padova, Department of Management and Engineering
Bio
Nenad Simeunovic
Faculty of Technical Sciences, University of Novi Sad
Bio
Slobodan Moraca
Faculty of Technical Sciences, University of Novi Sad
Bio
Aleksandar Rikalovic
Faculty of Technical Sciences, University of Novi Sad
Bio

Published 2020-09-30

abstract views: 47 // FULL TEXT ARTICLE (PDF): 0


Keywords

  • Real-time data analytics,
  • Edge computing,
  • Mahalanobis–Taguchi system,
  • Industry 4.0,
  • Predictive manufacturing

How to Cite

Bajic, B., Suzic, N., Simeunovic, N., Moraca, S., & Rikalovic, A. (2020). Real-time Data Analytics Edge Computing Application for Industry 4.0: The Mahalanobis-Taguchi Approach. International Journal of Industrial Engineering and Management, 11(3), 146–156. https://doi.org/10.24867/IJIEM-2020-3-260

Abstract

Industry 4.0 and its innovative technologies (e.g., Internet of Things, Cyber-Physical Systems, Cloud Computing, Big Data and Artificial Intelligence) represent great promise. Still, companies experience hardship when transforming from reactive to predictive manufacturing systems. The latter, driven by data science development, use predictive models to detect and solve production and maintenance issues before they happen. To eliminate the need for large and varied datasets for development of predictive models, in the present research we propose development of real-time predictive models based on small dataset without faulty data. This is achieved by using Mahalanobis–Taguchi system for fault detection in lack of fault data samples, and by using Edge Computing environment which provides higher re-sponsiveness, better security and decreased costs. Subsequently, two predictive models are developed, tested and compared for the case company from process industry (i.e. the vinyl-floor industry sector). Finally, recommendations for the industry are provided.

 

Article history: Received (May 30, 2020); Revised (July 8, 2020); Accepted (July 9, 2020); Published online (July 31, 2020)  

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