Big data applications to take up major challenges across manufacturing industries: A brief review

被引:28
作者
Azeem, Mohd [1 ]
Haleem, Abid [1 ]
Bahl, Shashi [2 ]
Javaid, Mohd [1 ]
Suman, Rajiv [3 ]
Nandan, Devaki [3 ]
机构
[1] Jamia Millia Islamia, Dept Mech Engn, New Delhi 110025, India
[2] IK Gujral Punjab Tech Univ, Dept Mech Engn, Hoshiarpur Campus, Hoshiarpur 146001, India
[3] GB Pant Univ Agr & Technol, Dept Ind & Prod Engn, Pantnagar 263145, Uttar Pradesh, India
关键词
Big Data; Industry; 4; 0; Applications; Manufacturing; DATA-MANAGEMENT; THINGS IOT; COVID-19; TECHNOLOGIES; TELEMEDICINE; SIMULATION; INTERNET; SERVICE;
D O I
10.1016/j.matpr.2021.02.147
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Growing population and depleting resources are forcing the manufacturers to become more competent and sustainable. Customers are becoming more and more informed about the product they consume, and therefore, manufacturers need to be flexible and open to new changes taking place. Big Data Analytics (BDA) is one such technology that has transformed the manufacturing sector. Organizations have now become more flexible with regards to their processes and, at the same time, have also improved their product quality. Here in this paper, we have analyzed various advantages of Big Data that manufacturing organizations can exploit for their betterment. We have also discussed examples of certain leading manufacturers and how they can lead to big data-enabled manufacturing. Lastly, we discuss certain shortcomings that need to be addressed to make big data analytics viable for organizations of all sorts and not just for top manufacturers. (c) 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on Advancement in Materials, Manufacturing and Energy Engineering (ICAMME-2021).
引用
收藏
页码:339 / 348
页数:10
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