A Review of Data Mining in Manufacturing

Authors

  • Shikha Parashar Sanskriti University, Mathura, Uttar Pradesh, India Author
  • Sushil Kumar Tripathi Sanskriti University, Mathura, Uttar Pradesh, India Author

Keywords:

Artificial Intelligence, CRM, Data Mining, Design, Manufacturing Process

Abstract

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. 

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Published

2021-11-30

Issue

Vol. 8 No. 6 (2021): International Journal of Innovative Research in Engineering & Management (Nov) 2021

Section

Articles

How to Cite

A Review of Data Mining in Manufacturing . (2021). International Journal of Innovative Research in Engineering & Management, 8(6), 416–419. Retrieved from https://acspublisher.com/journals/index.php/ijirem/article/view/11688