Artificial intelligence in advanced manufacturing: Current status and future outlook
Today's manufacturing systems are becoming increasingly complex, dynamic, and
connected. The factory operations face challenges of highly nonlinear and stochastic activity …
connected. The factory operations face challenges of highly nonlinear and stochastic activity …
Reinforcement and deep reinforcement learning-based solutions for machine maintenance planning, scheduling policies, and optimization
O Ogunfowora, H Najjaran - Journal of Manufacturing Systems, 2023 - Elsevier
Abstract Systems and machines undergo various failure modes that result in machine health
degradation, so maintenance actions are required to restore them back to a state where they …
degradation, so maintenance actions are required to restore them back to a state where they …
Deep reinforcement learning based preventive maintenance policy for serial production lines
In the manufacturing industry, the preventive maintenance (PM) is a common practice to
reduce random machine failures by replacing/repairing the aged machines or parts. The …
reduce random machine failures by replacing/repairing the aged machines or parts. The …
Deep multi-agent reinforcement learning for multi-level preventive maintenance in manufacturing systems
Designing preventive maintenance (PM) policies that ensure smooth and efficient
production for large-scale manufacturing systems is non-trivial. Recent model-free …
production for large-scale manufacturing systems is non-trivial. Recent model-free …
A Primer on the Factories of the Future
In a dynamic and rapidly changing world, customers' often conflicting demands have
continued to evolve, outstrip** the ability of the traditional factory to address modern-day …
continued to evolve, outstrip** the ability of the traditional factory to address modern-day …
Most important performance evaluation methods of production lines: A comprehensive review on historical perspective and emerging trends
MU Koyuncuoğlu - Computers & Industrial Engineering, 2024 - Elsevier
Production is one of the most significant building blocks that strengthen the sustainable
economy of companies and thus contribute to the countries' welfare. Performance indicators …
economy of companies and thus contribute to the countries' welfare. Performance indicators …
Data-driven modelling, analysis and improvement of multistage production systems with predictive maintenance and product quality
Predictive maintenance (PM) and quality management help to improve the business bottom
line by alleviating the system performance degradation caused by unscheduled machine …
line by alleviating the system performance degradation caused by unscheduled machine …
Data-driven modeling and real-time distributed control for energy efficient manufacturing systems
As manufacturers face the challenges of increasing global competition and energy saving
requirements, it is imperative to seek out opportunities to reduce energy waste and overall …
requirements, it is imperative to seek out opportunities to reduce energy waste and overall …
Dynamic production system diagnosis and prognosis using model-based data-driven method
Advanced manufacturing systems are becoming increasingly complex, subjecting to
constant changes driven by fluctuating market demands, new technology insertion, as well …
constant changes driven by fluctuating market demands, new technology insertion, as well …
Production quality improvement during manufacturing systems ramp-up
M Colledani, T Tolio, A Yemane - CIRP Journal of Manufacturing Science …, 2018 - Elsevier
In the current manufacturing context, characterized by short product life-cycles, large product
variety, product customization and short innovation cycles, achieving target production …
variety, product customization and short innovation cycles, achieving target production …