Machine Learning and AI Approaches to Manufacturing Applications
It is increasingly crucial to use artificial intelligence (AI) to raise the calibre of items. The integration of artificial intelligence (AI) and data mining (ML) technologies into processes is transforming the industrial sector. With a focus on discovering practical applications, this thorough research explores the quickly developing field of artificial intelligence (AI) and machine learning applications in business. In the production sector, businesses strive to maximize efficiency while minimizing costs. This essay discusses the fundamentals of data mining (ML) and computer science (AI), and it looks at both cutting-edge and tried-and-true ML methods used in manufacturing. Additionally featured are a variety of AI applications, such as technology, neural networks, natural language processing, vision, and continuous projections that have fundamentally transformed the industry. The paper highlights recent advancements and advancements that provide optimism for future innovation, which helps to illuminate potential applications of AI and machine learning for manufacturing. This article will prove to be a valuable resource for scholars, researchers, and executives as the manufacturing industry experiences constant transformation, thanks to its thorough analysis of the current situation, obstacles, prospects, and future directions of AI and ML applications.
Authors
- Rahul Ingle (ORCID: https://orcid.org/0000-0002-6072-8613)
- Deep . Shende
Institutions
- Datta Meghe Institute of Higher Education and Research (IN)
Publication Details
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1109/idicaiei61867.2024.10842806
- Citations
- 2
- Primary Topic
- Manufacturing Process and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.70