Zhengmin Zhang

Papers

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About

Zhengmin Zhang is a rising scholar in industrial engineering and operations research, whose work focuses on the optimization of robotic mobile fulfillment systems (RMFS) and warehouse logistics. Their research addresses critical challenges in automated warehousing, particularly the integration of energy consumption considerations into system performance evaluation. Zhang's most cited paper, "The role of energy consumption in robotic mobile fulfillment systems: Performance evaluation and operating policies with dynamic priority" (2024), has already garnered 12 citations, demonstrating its timely impact on the field. This work introduces dynamic priority policies that balance throughput and energy efficiency, offering practical solutions for modern e-commerce and logistics operations. A subsequent study on "Robotic warehouse systems considering dynamic priority" (2024) further extends these findings, contributing to the growing body of knowledge on sustainable automation. Zhang's contributions are particularly notable for bridging theoretical performance modeling with real-world operational policies, making their research valuable for both academics and industry practitioners seeking to enhance warehouse productivity while reducing energy footprints.