Journal Press India®

A Review study on the Machine Learning Approaches to Manufacturing

Vol 11 , Issue 1 , January - March 2023 | Pages: 117-123 | Research Paper  

https://doi.org/10.51976/ijari.1112312

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Author Details ( * ) denotes Corresponding author

1. * A.K. Madan, Professor, Department of Mechanical Engineering, Delhi Technological University, New Delhi, Delhi, India (rohinvermacr7@gmail.com)
2. Rohin Verma, Student, Department of Mechanical Engineering, Delhi Technological University, New Delhi, Delhi, India
3. Rudansh Singh, Student, Department of Mechanical Engineering, Delhi Technological University, New Delhi, Delhi, India
4. Ritik Kamboj, Student, Department of Mechanical Engineering, Delhi Technological University, New Delhi, Delhi, India

Manufacturing companies need constant development to remain competitive, which calls for adaptable workplaces and staff members that value lifelong learning. They also profit from systems for processing information and materials that are flexible and progressive. Machine learning has grown in popularity across a variety of industries, including entertainment, business, and industrial applications. It is a type of artificial intelligence that focuses on autonomous knowledge acquisition. Due to its adaptability and accessibility, new avenues for innovation have emerged, notably in the manufacturing sector. Machine learning techniques are becoming increasingly popular as the manufacturing sector moves towards Smart Manufacturing and Industrie 4.0. This study examines a decade's worth of manufacturing papers to assess how much machine learning is being used in that sector.

Keywords

Machine Learning; Manufacturing; Technology; Industry

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