Jiaojiao Liu
Papers
2
Total Citations
31
H-Index
2
About
Dr. Jiaojiao Liu is a rising scholar in industrial and manufacturing systems engineering, with a focused expertise in production scheduling, robotic assembly line optimization, and sustainable manufacturing. Her research addresses critical challenges in modern smart factories, particularly the integration of autonomous mobile robots (AMRs) into flexible job shop environments. Her most-cited work, "An integrated scheduling approach considering dispatching strategy and conflict-free route of AMRs in flexible job shop" (2022, 28 citations), introduces a novel framework that simultaneously optimizes machine scheduling and AMR routing, resolving collision conflicts while improving throughput—a key enabler for Industry 4.0 logistics. More recently, Dr. Liu has advanced the field of robotic mixed-model assembly lines by incorporating energy consumption into balancing and sequencing decisions (2025, 3 citations), reflecting a growing commitment to green manufacturing. Her contributions bridge the gap between theoretical optimization and practical implementation, offering decision-support tools that reduce operational costs and environmental impact. With her work gaining traction in both academic and industrial circles, Dr. Liu is establishing herself as a forward-thinking researcher dedicated to making manufacturing systems more efficient, flexible, and sustainable.
Research Focus
Key Achievements
Top Papers
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- 2