Leveraging AI for Predictive Maintenance in Pharmaceutical Manufacturing

Enhancing Efficiency and Competitiveness in the USA

Authors

  • Dr. Benjamin Jones Professor of Cybersecurity, Edith Cowan University, Australia Author

Keywords:

Predictive Maintenance, Pharmaceutical Manufacturing

Abstract

Industrial manufacturing represents one of the largest sectors in the USA, contributing approximately $2.25 trillion to the GDP in 2022. By utilizing an intelligent manufacturing operation, manufacturers can enable the automation of manufacturing processes, improve product quality, and enhance facility utilization. With access to historical production datasets through various sensors deployed into manufacturing facilities, Artificial Intelligence (AI)-based digital transformation technologies become accessible to industrial manufacturers. Applying AI-based technologies to enhance the efficiency of existing manufacturing facilities is known as AI for manufacturing, while developing AI technology for manufacturing systems is known as manufacturing for AI [1].

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Published

22-09-2024

How to Cite

[1]
Dr. Benjamin Jones, “Leveraging AI for Predictive Maintenance in Pharmaceutical Manufacturing: Enhancing Efficiency and Competitiveness in the USA”, Australian Journal of Machine Learning Research & Applications, vol. 4, no. 2, pp. 101–115, Sep. 2024, Accessed: Nov. 24, 2024. [Online]. Available: https://sydneyacademics.com/index.php/ajmlra/article/view/145

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