Lulu Cheng

Kunming University of Science and Technology

Papers

Total Citations

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About

Lulu Cheng is a rising scholar in operations research and healthcare logistics, with a focused expertise in the stochastic scheduling of autonomous mobile robots (AMRs) for smart hospitals. Her work addresses critical challenges in hospital automation, where unpredictable travel and service times demand robust optimization. In her highly cited 2023 paper, "The Multi-Trip Autonomous Mobile Robot Scheduling Problem with Time Windows in a Stochastic Environment at Smart Hospitals" (10 citations), Cheng pioneered a framework that minimizes daily operational costs—including AMR fixed costs and penalties—while ensuring timely medical deliveries. A companion study (4 citations) further refines these models by incorporating stochastic elements to enhance real-world applicability. By integrating time windows and multi-trip routing under uncertainty, Cheng’s research directly supports hospitals in reducing labor burdens and improving patient care efficiency. Her contributions are particularly notable for bridging theoretical scheduling problems with practical deployment in dynamic healthcare settings, offering a blueprint for autonomous systems in high-stakes environments. As the field of smart hospitals expands, Cheng’s work stands as a foundational reference for researchers and practitioners seeking to optimize robotic fleets under uncertainty.