AI Enhanced Predictive Maintenance for Manufacturing System

Abstract

Facilities operations and maintenance involve the daily tasks, responsibilities, and workforce required to keep a facility functioning properly. Billions of dollars are spent each year worldwide on these activities, with a significant portion due to preventable inefficiencies. This paper will explore how artificial intelligence can be used for predictive maintenance to reduce operational and maintenance expenses and ensure seamless operation. The focus is on artificial intelligence, providing dispassionate advocacy for investments and maintenance. Research shows that a lack of data is the main obstacle to AI adoption in facility management programs. The study suggests that AI's ongoing evolution will be crucial in shaping future maintenance strategies in the industry.