Big Data Analytics in Maintenance Management: Frameworks and Future Directions

Authors

  • Hassan Al-Tamimi Computer Centre Department, University of Fallujah, Anbar 00964, Iraq Author
  • Ahmed Al-Khalidi Computer Centre Department, University of Fallujah, Anbar 00964, Iraq Author
  • Omar Al-Hadidi Computer Centre Department, University of Fallujah, Anbar 00964, Iraq Author

Abstract

In today's fast-paced industrial landscape, organizations are increasingly leveraging the power of big data analytics to enhance their maintenance management strategies. The integration of advanced technologies has transformed traditional approaches, enabling businesses to shift from reactive and preventive maintenance to more proactive methods like predictive maintenance. This evolution not only optimizes operational efficiency but also significantly reduces costs and minimizes unplanned downtimes. In this article, we will explore various frameworks for implementing big data analytics in maintenance management and discuss future directions that can shape this dynamic field.

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Published

2020-07-19

Issue

Section

Articles

How to Cite

Big Data Analytics in Maintenance Management: Frameworks and Future Directions. (2020). International Journal of Contemporary Research and Literacy Works, 1(2), 25-32. https://ijcrl.com/1/article/view/11