Mingzhou Jin

Knoxville College, University of Tennessee at Knoxville

Papers

Total Citations

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About

Mingzhou Jin is a leading researcher in operations research, logistics, and automation, with a focus on designing intelligent systems for e-commerce and public health. His major contributions include pioneering work on Robotic Mobile Fulfilment Systems (RMFS), where he developed optimization models to manage robot-driven warehouse operations that serve multiple customer classes, such as expedited and standard shipping. This research, published in 2020 with 41 citations, addresses critical challenges in online retail by improving order-picking efficiency and resource allocation. Jin also advances the field of smart building management, as seen in his 2024 study on disinfection robots scheduling and routing, which tackles the operational complexities of maintaining healthy indoor environments. His work integrates real-world constraints—like robot battery life and task prioritization—into scalable algorithms, demonstrating high practical impact. With a growing citation record, Jin’s research bridges theoretical optimization and applied robotics, offering solutions that enhance productivity and safety in modern logistics and healthcare facilities. His achievements underscore a commitment to transforming automated systems through rigorous mathematical modeling and interdisciplinary collaboration.