Volume- 8
Issue- 6
Year- 2021
DOI: 10.55524/ijirem.2021.8.6.91 | DOI URL: https://doi.org/10.55524/ijirem.2021.8.6.91
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)
Article Tools: Print the Abstract | Indexing metadata | How to cite item | Email this article | Post a Comment
Shikha Parashar , Sushil Kumar Tripathi
The article examines data mining's uses in manufacturing engineering, namely in the areas of Production processes, management, defect detection, maintenance, management assistance, and product quality improvement are all examples of what we do. In addition, customer service, data aggregation, and standards are addressed. briefly. Rather than addressing the data mining topic in general, this study focuses on showing the relevance of data mining to the manufacturing sector. Because of the large amount of general data mining literature, it's difficult to obtain a clear picture of a target field like manufacturing engineering, which has its unique set of demands and requirements for mining applications. This examination shows forward-thinking applications, as well as current gaps and underserved sectors such as production planning and shop floor management.
[1] Siang Kok Sim and Yiu Wing Chan, “A knowledge-based expert system for rolling-element bearing selection in mechanical engineering design,” Artif. Intell. Eng., 1991, doi: 10.1016/0954-1810(91)90035-M.
[2] I. Najbolj et al., “Thermo-Mechanical Fatigue of Hot Work Tool Steels,” 6th Int. Tool. Conf., 2013.
[3] M. Xia, T. Li, Y. Zhang, and C. W. De Silva, “Closed-loop design evolution of engineering system using condition monitoring through internet of things and cloud computing,” Comput. Networks, 2016, doi: 10.1016/j.comnet.2015.12.016.
[4] S. Röhner, T. Breitsprecher, and S. Wartzack, “Acquisition of design-relevant knowledge within the development of sheet-bulk metal forming,” 2011.
[5] J. W. Lu, N. Bin Chang, and L. Liao, “Environmental informatics for solid and hazardous waste management: Advances, challenges, and perspectives,” Crit. Rev. Environ. Sci. Technol., 2013, doi: 10.1080/10643389.2012.671097.
[6] M. W. Pretorius et al., “System Life Cycle Process Models: ‘Vee,’” R&D Manag. Conf. Proc. 2017, 2014.
[7] Y. Li and J. Jian, “Development of key technologies in a case-based knowledge system for fixture design,” 2010, doi: 10.1007/978-3-642-10430-5_18.
[8] “Summary, conclusions and recommendations,” Struct. Eng. Rep., 2007, doi: 10.4324/9780429273438-13.
[9] I. P. Dani, “Pengaruh Strategi Promosi Terhadap Keputusan Pembelian Yang Dimediasi Oleh Minat Beli Pada Konsumen Matahari Department Store Yogyakarta,” Res. Policy, 2014.
[10] Priyambodo, “Pengembangan Sarana Dan Prasarana Pengujian Kendaraan Bermotor Di Kota KedirI,” Res. Policy, 2014.
Sanskriti University, Mathura, Uttar Pradesh, India (shikha.soet@sanskriti.edu.in)
No. of Downloads: 24 | No. of Views: 721
Preet Bhutani, Amol Ashokrao Shinde.
October 2024 - Vol 11, Issue 5
Saikat Banerjee, Debasmita Palsani, Abhoy Chand Mondal.
October 2024 - Vol 11, Issue 5
Anitej Chander Sood, Konika Singh Dhull.
October 2024 - Vol 11, Issue 5