Papers
7
Total Citations
411
H-Index
7
About
Tengfei Wu is a prominent researcher specializing in disassembly line balancing, remanufacturing optimization, and human-robot collaborative systems. His work sits at the intersection of industrial engineering, sustainable manufacturing, and intelligent optimization, addressing critical challenges in end-of-life product processing and circular economy practices. Wu's most significant contributions center on developing sophisticated mathematical models and hybrid algorithms for complex disassembly problems. His 2021 mixed-integer programming model for multi-product partial disassembly lines with multi-robot workstations (102 citations) established a foundational framework in the field, while his 2022 study on waste power battery module disassembly (90 citations) tackled the increasingly urgent challenge of electric vehicle battery recycling. His subsequent work on human-robot collaborative disassembly line balancing has been particularly impactful, exploring how intelligent teaming of human workers and robotic systems can simultaneously optimize efficiency, cost, and environmental performance. Beyond technical modeling, Wu consistently integrates sustainability metrics into his optimization frameworks, considering carbon emissions, noise pollution, and techno-economic benefits. His cumulative citation count of over 400 across just seven papers reflects the timeliness and rigor of his research, making him an influential voice for students and practitioners pursuing greener, smarter remanufacturing solutions.
Research Focus
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Top Papers
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