Authors :
Aris Puja; Farid Mujayyin; Nugrahadi DM; Rizkyah Nur Putri; Dea Argita Gunarso
Volume/Issue :
Volume 8 - 2023, Issue 11 - November
Google Scholar :
https://tinyurl.com/bdfxevs8
Scribd :
https://tinyurl.com/3vpy74by
DOI :
https://doi.org/10.5281/zenodo.10168447
Abstract :
Artificial Intelligence (AI) has become an
integral part of industrial technology development,
especially in the manufacturing sector. This research
discusses the implementation of artificial intelligence in
an integrated manufacturing system to improve
production efficiency, productivity, and quality.An
integrated manufacturing system is an approach that
combines various aspects of production in one
coordinated system, including planning, inventory
management, production monitoring, and equipment
maintenance. The implementation of artificial
intelligence in these systems enables smarter decision-
making, more accurate predictions, and more efficient
automation.The methods used involve the use of machine
learning and data analysis techniques to process and
analyse production data in real time. In addition, the
system also uses artificial intelligence algorithms to
predict production disruptions, optimise production
scheduling, and monitor equipment conditions
continuously.The results show a significant improvement
in production efficiency, a reduction in losses due to
production interruptions, and an improvement in
product quality. By integrating artificial intelligence in
manufacturing systems, companies can respond more
quickly to market changes, reduce production costs, and
improve competitiveness.
This research provides insights into the importance
of artificial intelligence implementation in the context of
an integrated manufacturing industry. It also emphasises
that investing in artificial intelligence technology is a
crucial step for companies that want to stay relevant in
the ever-changing industry 4.0 era..
Keywords :
Artificial Intelligence, Process, Implementation, Manufacturing.
Artificial Intelligence (AI) has become an
integral part of industrial technology development,
especially in the manufacturing sector. This research
discusses the implementation of artificial intelligence in
an integrated manufacturing system to improve
production efficiency, productivity, and quality.An
integrated manufacturing system is an approach that
combines various aspects of production in one
coordinated system, including planning, inventory
management, production monitoring, and equipment
maintenance. The implementation of artificial
intelligence in these systems enables smarter decision-
making, more accurate predictions, and more efficient
automation.The methods used involve the use of machine
learning and data analysis techniques to process and
analyse production data in real time. In addition, the
system also uses artificial intelligence algorithms to
predict production disruptions, optimise production
scheduling, and monitor equipment conditions
continuously.The results show a significant improvement
in production efficiency, a reduction in losses due to
production interruptions, and an improvement in
product quality. By integrating artificial intelligence in
manufacturing systems, companies can respond more
quickly to market changes, reduce production costs, and
improve competitiveness.
This research provides insights into the importance
of artificial intelligence implementation in the context of
an integrated manufacturing industry. It also emphasises
that investing in artificial intelligence technology is a
crucial step for companies that want to stay relevant in
the ever-changing industry 4.0 era..
Keywords :
Artificial Intelligence, Process, Implementation, Manufacturing.
