Transforming Manufacturing Sector with Supervised Machine Learning Techniques
Abstract: Generally seen as a domain of physical processes and human talent, the manufacturing industry is undergoing a significant revolution driven by data science. The manufacturing industry is now undergoing a data-driven revolution, which has the potential to turn traditional manufacturing facilities into highly optimized smart manufacturing facilities. These smart facilities are focused on extracting manufacturing intelligence from real-time data in order to facilitate accurate and fast decision-making that may benefit the entire organization. This paper delves into the application of machine learning (ML) and data mining (DM) techniques and tools that could be very beneficial for dealing with challenges in manufacturing.
Keywords: Supervised Machine Learning, Industrial Internet of Things, Sensor data
How to Cite?: Ritambhara Jha, "Transforming Manufacturing Sector with Supervised Machine Learning Techniques", Volume 10 Issue 4, April 2021, International Journal of Science and Research (IJSR), Pages: 1367-1369, https://www.ijsr.net/getabstract.php?paperid=SR24203180211, DOI: https://dx.doi.org/10.21275/SR24203180211