Matin Ghasempour Anaraki

Papers

Total Citations

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About

Matin Ghasempour Anaraki is a researcher in industrial and systems engineering, with a primary focus on advanced manufacturing systems, optimization, and metaheuristic algorithms. His work addresses complex production challenges, particularly in the design and operation of robotic assembly lines. His most-cited paper, "Using parallel metaheuristics to solve a parallel U-shaped robotic mixed-model assembly line balancing and sequencing problem" (2024, 3 citations), introduces novel computational approaches to optimize the configuration and scheduling of modern, flexible manufacturing environments. This contribution is significant for its integration of parallel computing with metaheuristic methods, enabling more efficient solutions to NP-hard problems in assembly line balancing. While his citation count is currently modest, reflecting the recency of his work, his research holds practical relevance for industries seeking to enhance productivity through automation and intelligent scheduling. Anaraki’s focus on parallel U-shaped robotic lines—a configuration that improves space utilization and workflow—demonstrates his commitment to solving real-world manufacturing bottlenecks. As his work gains traction, it is poised to influence both academic research and industrial practice in smart manufacturing and operations research.