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About

Dr. Mustafa Yurdakul is a leading researcher in advanced manufacturing and automation, with a primary focus on developing intelligent systems for aerospace assembly and flexible manufacturing. His work bridges the gap between theoretical optimization and practical industrial application, particularly in the design of reconfigurable robotic systems for airplane fuselage assembly. Dr. Yurdakul’s most influential contribution is his 2012 paper on a decision support system for robot selection, which has garnered 77 citations and remains a foundational resource for engineers choosing automation equipment. He has further advanced the field by creating a combined model of Design of Experiment and Goal Programming to optimize the robustness of flexible manufacturing cells, a methodology that helps factories balance multiple performance metrics simultaneously. His recent research on automated airplane panel assembly systems, published in 2023, demonstrates how state-of-the-art robotics can reduce lead times and costs in the aerospace industry. Dr. Yurdakul also investigates machine sequence flexibility, showing how combining operation and routing flexibilities can significantly boost manufacturing system performance. His work is essential reading for anyone interested in the practical implementation of smart manufacturing and robotic automation in high-stakes industries like aerospace.