Ahmed Rhiat

Papers

Total Citations

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About

Ahmed Rhiat is a researcher at the forefront of logistics innovation, specializing in the intersection of robotics, drone technology, and optimization algorithms to revolutionize warehousing and distribution. His most impactful work, "A Smart Warehouse Using Robots and Drone to Optimize Inventory Management" (2021, 13 citations), proposes a novel framework for automating inventory tracking and order fulfillment, demonstrating how aerial and ground robots can collaborate to reduce human error and operational costs. Rhiat’s earlier research, "Combining Mobile Robotics and Packing for Optimal Deliveries" (2020, 7 citations), tackles a critical e-commerce challenge: efficiently packing boxes under real-world constraints like orientation, fragility, and stackability. This work bridges bin packing optimization with mobile robotics, offering practical solutions for order preparation. His comprehensive survey, "Panorama of Real-Life Applications in Logistics Embedding Bin Packing Optimization Algorithms, Robotics and Cloud Computing Technologies" (2016, 3 citations), provides a foundational overview of how these technologies converge in modern supply chains. Though his citation counts are modest, Rhiat’s contributions are highly applied, directly addressing industry pain points in e-commerce and smart warehousing. His work is particularly valuable for researchers and practitioners seeking to integrate autonomous systems with optimization models for scalable, efficient logistics.