Ashraf Mahmoud
Papers
1
Total Citations
68
H-Index
1
About
Ashraf Mahmoud is a leading researcher in logistics and supply chain optimization, with a particular focus on the critical challenge of last-mile delivery. His work is distinguished by its forward-looking integration of emerging technologies, most notably in his highly cited 2025 review, "A Review of Last-Mile Delivery Optimization: Strategies, Technologies, Drone Integration, and Future Trends," which has already garnered 68 citations. This seminal paper systematically maps the landscape of modern delivery systems, offering a comprehensive analysis of how artificial intelligence (AI) and the Internet of Things (IoT) are reshaping operational efficiency and customer satisfaction. Mahmoud’s major contribution lies in synthesizing disparate optimization strategies—from algorithmic route planning to drone deployment—into a cohesive framework that identifies both current best practices and future research directions. His work serves as an essential roadmap for practitioners and academics alike, demonstrating how AI-driven decision-making can dramatically reduce costs and environmental impact while improving service reliability. By bridging the gap between theoretical optimization models and real-world implementation, Mahmoud has established himself as a pivotal voice in the evolution of smart, sustainable logistics systems.
Research Focus
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Top Papers
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