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Author

Khammal Adil

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Open access 2026

Learning to Schedule Machines and Operators: A Human-Aware Deep Q-Learning Framework for Dynamic Flexible Job Shops

Most learning-based schedulers for job shop problems assume static workforce performance. However, dynamic dual-resource job shops must navigate stochastic disturbances and time-varying task durations due to human factors. This study proposes a human-centered Deep Reinforcement Learning framework, DD4LQN, for dynamic f...

Taji Hajar, Ayad Ghassane, Z. Abd-El-Hamid et al. · 0 citations
Open access 2026

The Agentic Enterprise Capability Framework (AECF): A Governance-First Architecture for Scalable AI Agent Deployments

Enterprise AI adoption has reached a structural inflection point: while a majority of organizations have deployed generative AI, few have established mature governance models for autonomous agents. This disparity reflects a fundamental architectural gap: Multi-Agent Systems, Enterprise Architecture, AI agent deployment...

Khammal Adil, Hamzane Ibrahim, Marzak Abdelaziz et al. · 0 citations

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