Papers
7
Total Citations
57
H-Index
3
About
Kan Wu’s research lies at the intersection of operations research, data science, and smart systems, with a primary focus on optimizing logistics and automation in healthcare and manufacturing. His most cited work, “Development of Smart Semiconductor Manufacturing: Operations Research and Data Science Perspectives” (33 citations), establishes a foundational framework for integrating data-driven decision-making into semiconductor production, addressing the growing demands of sustainable smart manufacturing. Building on this, Wu has pioneered the study of autonomous mobile robot (AMR) scheduling in stochastic hospital environments, where travel and service times are unpredictable. His 2023 paper on multi-trip AMR scheduling with time windows (10 citations) introduces novel optimization models that reduce daily hospital costs by balancing robot fixed costs and penalties for delays. Wu further extends this work to multi-objective routing problems (2024, 3 citations) and human-machine cooperation in automated drug dispensing systems (2024, 2 citations), where he develops scattered storage and clustered allocation strategies to improve order-picking efficiency. His contributions are particularly timely given the aging population and rising demand for healthcare automation. With a growing citation record and a clear trajectory toward practical, data-driven solutions, Wu is shaping the future of smart logistics in critical sectors.
Research Focus
Key Achievements
Top Papers
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- 3Stochastic scheduling of autonomous mobile robots at hospitals4 citations · 2023
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