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Author

M. Aldurgam

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Conference

Optimizing Aerial Surveying Operations with an Adaptive MDP-Based Scheduling Model for Single Aircraft

This study introduces a dynamic scheduling model for single-aircraft aerial surveying, designed to maximize productivity while managing various operational costs effectively. Utilizing the Markov Decision Process (MDP) framework, the model enables adaptive decision-making, allowing the aircraft to select actions such a...

Saad Jamil, Mohammad M. Aldurgam, Ahmad Baubaid · 0 citations
Conference

An Integrated Assembly Line Balancing and Maintenance Model Using a Markov Decision Process Incorporating Machine Status

This study introduces a novel assembly line balancing model that integrates operational and maintenance requirements. The objective is to minimize the operational costs, which includes costs related to tools\workers, workstations construction, and repairs. The methodology focuses on dynamically balancing tasks distribu...

E. Alhomaidi, Mohammad M. Aldurgam, Sani Muhammd Ahmad · 0 citations
Conference Jul 2026

Reinforcement Learning–Based Operational Optimization of a Hybrid Wind–CSP System with Thermal and Battery Energy Storage

Hybrid renewable power plants that combine multiple generation technologies with energy storage can improve renewable utilization and reliability, but their operation requires solving a high-dimensional, sequential dispatch problem under uncertainty. This paper presents a reinforcement learning (RL) framework for opera...

Monzer Khalid, Ahmad Al Hanbali, M. Aldurgam et al. · 0 citations

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