Ahmed El Sayed

Papers

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About

Ahmed El Sayed is a leading researcher in sustainable manufacturing and intelligent automation, whose work focuses on optimizing end-of-life product recovery and robotic disassembly systems. His most influential paper, "Disassembly Sequencing Using Tabu Search" (2015, 74 citations), pioneered the application of metaheuristic algorithms to solve complex disassembly sequencing problems, significantly improving the efficiency of recycling and remanufacturing processes. Building on this, his 2017 study, "A Decision Maker-Centered End-of-Life Product Recovery System for Robot Task Sequencing" (21 citations), introduced a human-in-the-loop framework that balances economic and environmental objectives in robotic disassembly, offering practical tools for industry adoption. El Sayed’s contributions have been instrumental in advancing circular economy principles by enabling more cost-effective and automated recovery of valuable materials from discarded products. His work is widely cited by researchers in operations research, industrial engineering, and sustainable manufacturing, and he is recognized for bridging the gap between algorithmic optimization and real-world decision-making. Through his research, El Sayed continues to shape the future of smart, sustainable production systems.