Artificial Intelligence in Advance Manufacturing

Authors

  • Dipak Kumar Banerjee, Ashok Kumar, Kuldeep Sharma

Keywords:

Artificial Intelligence, Deep Learning, Machine Learning, Mechanical Testing

Abstract

This paper delves into the evolution of manufacturing systems, strongly influenced by changes in products, technology, business strategies, and production paradigms. It rigorously examines the adoption of human-centric decision-making in collaboration with intelligent systems, along with implications and preparedness for the transition to more responsive, intelligent adaptive systems. This presents a vision for the new Adaptive Cognitive Manufacturing System (ACMS), Artificial intelligence paradigm and provides assertive perspectives for future research, education, and work to drive the evolution of manufacturing systems..

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Published

2024-02-05

How to Cite

Dipak Kumar Banerjee, Ashok Kumar, Kuldeep Sharma. (2024). Artificial Intelligence in Advance Manufacturing. International Journal of Multidisciplinary Innovation and Research Methodology, ISSN: 2960-2068, 3(1), 77–79. Retrieved from https://ijmirm.com/index.php/ijmirm/article/view/102