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Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Abstract Machine scheduling aims to optimally assign jobs to a single or a group of
machines while meeting manufacturing rules as well as job specifications. Optimizing the …
machines while meeting manufacturing rules as well as job specifications. Optimizing the …
FORLAPS: An Innovative Data-Driven Reinforcement Learning Approach for Prescriptive Process Monitoring
We present a novel 5-step framework called Fine-Tuned Offline Reinforcement Learning
Augmented Process Sequence Optimization (FORLAPS), which aims to identify optimal …
Augmented Process Sequence Optimization (FORLAPS), which aims to identify optimal …
An Innovative Next Activity Prediction Approach Using Process Entropy and DAW-Transformer
Purpose-In Business Process Management (BPM), accurate prediction of the next activities
is vital for operational efficiency and decision-making. Current Artificial Intelligence …
is vital for operational efficiency and decision-making. Current Artificial Intelligence …
An Innovative Data-Driven Reinforcement Learning Approach for Prescriptive Process Monitoring
The application of artificial intelligence (AI) and machine learning (ML) in business process
management has progressed significantly; however, the full potential of these technologies …
management has progressed significantly; however, the full potential of these technologies …
[PDF][PDF] Redefining Business Process Management with AI: Intelligent Workflows for the Digital Age.
SO Razaq - researchgate.net
This research article aims to identify the new perspectives that occurred in the Business
Process Management (BPM) during the digital era, mainly the introduction of the Artificial …
Process Management (BPM) during the digital era, mainly the introduction of the Artificial …