Papers
9
Total Citations
305
H-Index
8
About
Yanqing Zeng is a prominent researcher specializing in disassembly line balancing, remanufacturing systems, and human–robot collaboration, with a particular focus on developing intelligent, sustainable solutions for end-of-life product processing. His work sits at the intersection of operations research, robotics, and green manufacturing, addressing one of the most pressing challenges in circular economy: efficiently dismantling waste products such as household appliances. Zeng's major contributions center on formulating novel mathematical models—particularly mixed-integer programming frameworks—and designing advanced metaheuristic algorithms, including genetic and differential evolution approaches, to solve complex disassembly line balancing problems. His pioneering research on human–robot collaborative disassembly line balancing problems (HRC-DLBP) has established foundational methodologies that maximize the complementary strengths of human workers and robotic systems across diverse remanufacturing scenarios. He has further extended this work to incorporate energy efficiency, noise pollution, component non-disassemblability, and preventive maintenance considerations. With a rapidly growing citation portfolio—his top papers accumulating over 70, 60, and 57 citations within just one to two years of publication—Zeng's research has achieved significant international impact. His body of work offers students and practitioners alike rigorous, actionable frameworks for advancing intelligent, eco-efficient remanufacturing operations.
Research Focus
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Top Papers
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