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About

Tugce Martagan is a prominent operations research scholar whose work centers on intelligent automation, autonomous vehicle systems, and smart manufacturing optimization. She has made significant contributions to the scheduling and management of automated guided vehicles (AGVs), particularly in tackling the complex interplay between battery constraints, heterogeneous fleets, and real-world operational demands. Her most influential work, "A Matheuristic for AGV Scheduling with Battery Constraints" (2021, 131 citations), introduced novel algorithmic approaches to optimize AGV fleet performance under soft time windows — a practical advance that resonated widely with both academics and industry practitioners. Her companion study on multi-load heterogeneous AGVs (2021, 96 citations) further cemented her reputation as a leading voice in flexible factory automation. Beyond AGV systems, Martagan extends her expertise to simulation-based manufacturing design and human-robot collaborative order picking, reflecting her broader commitment to bridging theoretical optimization with real-world industrial challenges. With over 250 citations across her key publications and a research portfolio rooted in industry-partnered problems, she stands as an impactful contributor to the fields of intelligent manufacturing, autonomous logistics, and operations management.