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Review Open access Oct 2026

Reinforcement Learning Approaches to the Dynamic Flexible Job Shop Scheduling Problem: A Systematic Review

This systematic review analyses how Reinforcement Learning (RL) applied to the Dynamic Flexible Job Shop Scheduling Problem (DFJSSP) contributes to industrial production systems, considering problem formulations and extensions, algorithm families and scheduling strategies, and scalability. ScienceDirect, IEEE Xplore, T...

Ana Neto, N. Lopes, Cátia Alves et al. · 0 citations
Open access Aug 2026

Artificial Intelligence as Effectiveness Enabler of Dynamic Reconfiguration of Systems Architecture in Industry 5.0

The proof of concept shows how telemetry, data storage, machine learning models, and operator feedback can be combined to support auditable, explainable, and human-contestable industrial decisions, demonstrating the classification accuracy, remaining useful life forecasting capabilities, and enhanced recommendation pre...

Luis Ferreira, E. Gonçalves, G. Putnik et al. · 0 citations

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