Artificial intelligence in smart manufacturing: Technologies, challenges, and solutions
Chuanyuan Tan
Han’s Laser, TX
DOI: https://doi.org/10.59429/esta.v11i4.8474
Keywords: Artificial Intelligence; Smart Manufacturing; Data Security; Talent Development
Abstract
The integration of Artificial Intelligence (AI) into smart manufacturing is a pivotal development in the evolution of the industry. This paper explores the technologies, challenges, and solutions associated with AI’s role in enhancing manufacturing processes. It highlights how AI, through machine learning and data analytics, robotics and automation, and predictive maintenance and optimization, is transforming traditional manufacturing into a more efficient, adaptive, and intelligent system. The paper identifies key challenges, including the complexity of integrating AI with legacy systems, ensuring data security, and addressing the skills gap. Proposed solutions encompass innovative integration strategies, enhanced data security measures, and talent development programs. The conclusion emphasizes the necessity for the manufacturing sector to embrace AI to achieve operational excellence and remain competitive in the global market. The future of smart manufacturing lies in the successful implementation of AI technologies, which will drive innovation and redefine production standards.
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