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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in April 2026 (Volume 30, Issue 1) Submit manuscript

Data analytics in construction machinery: applications, challenges and future directions

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  • Data analytics in construction machinery: applications, challenges and future directions

Rashi Nimesh Kumar Dhenia *

Department of Computer Engineering, Purdue University, Indianapolis, Indiana, USA.
Research Article
World Journal of Advanced Research and Reviews, 2022, 13(03), 649-653
Article DOI: 10.30574/wjarr.2022.13.3.0234
DOI url: https://doi.org/10.30574/wjarr.2022.13.3.0234
Received on 09 February 2022; revised on 22 March 2022; accepted on 28 March 2022
The integration of data analytics into construction machinery is transforming the construction industry by enhancing efficiency, safety, and decision-making.  This paper explores the theoretical foundations, practical applications, and key challenges of data analytics in the context of construction equipment. It reviews methodologies for collecting and processing equipment data, discusses predictive maintenance, utilization optimization, and safety management, and highlights the barriers to widespread adoption. The paper concludes by outlining future research directions and the potential for data-driven innovation in construction machinery.
Data Analytics; Predictive Analytics; Machine Learning; Telematics data; Equipment Industry
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2022-0234.pdf

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Rashi Nimesh Kumar Dhenia. Data analytics in construction machinery: applications, challenges and future directions. World Journal of Advanced Research and Reviews, 2022, 13(3), 649-653. Article DOI: https://doi.org/10.30574/wjarr.2022.13.3.0234

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