INTEGRATION OF ARTIFICIAL INTELLIGENCE TECHNIQUES TO ACHIEVE REAL-TIME PROCESS OPTIMIZATION IN ADVANCED MANUFACTURING SYSTEMS WITH A FOCUS ON PREDICTIVE ANALYTICS AND AUTONOMOUS DECISION-MAKING
Abstract
Artificial Intelligence (AI) has significantly impacted advanced manufacturing systems (AMS) by enhancing predictive analytics and enabling autonomous decision-making. This paper explores the integration of AI techniques for real-time process optimization in AMS, addressing current methodologies and evaluating their efficacy in achieving operational efficiency. The study is structured to review the latest developments, present relevant data, and provide a roadmap for future integration.
Keywords
artificial intelligence
advanced manufacturing systems
real-time process optimization
predictive analytics
autonomous decision-making.
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Details
Volume
2
Issue
1
Pages
1-7
ISSN
1433-3015
Shueb A.M.Abdullah
"INTEGRATION OF ARTIFICIAL INTELLIGENCE TECHNIQUES TO ACHIEVE REAL-TIME PROCESS OPTIMIZATION IN ADVANCED MANUFACTURING SYSTEMS WITH A FOCUS ON PREDICTIVE ANALYTICS AND AUTONOMOUS DECISION-MAKING".
International Journal of Advanced Manufacturing Technology,
vol: 2,
No. 1
Jan. 2025, pp: 1-7,
https://scholar9.com/publication-detail/integration-of-artificial-intelligence-techniques--34843