Papers
15
Total Citations
591
H-Index
11
About
Zeqiang Zhang is a prominent researcher specializing in disassembly line balancing, human-robot collaboration, and sustainable remanufacturing optimization. His work sits at the intersection of advanced manufacturing, artificial intelligence, and circular economy principles, addressing critical challenges in end-of-life product processing and waste resource recovery. Zhang's most significant contributions center on developing sophisticated mathematical models and metaheuristic algorithms for complex disassembly problems. His pioneering research on human-robot collaborative disassembly line balancing—exploring how humans and robots can optimally share workstations to maximize efficiency and minimize environmental impact—has garnered particular attention, with individual papers accumulating over 100 citations. His investigations span waste power battery modules, household appliances, and multi-product systems, consistently integrating techno-economic and environmental considerations into optimization frameworks. With a cumulative citation count exceeding 545 across his top ten papers, Zhang has established himself as a leading voice in remanufacturing science. His innovative hybrid evolutionary algorithms, mixed-integer programming models, and carbon emission optimization strategies directly address industrial sustainability challenges. Students and practitioners in smart manufacturing, green engineering, and operations research will find his body of work an essential reference for understanding the future of intelligent, eco-conscious disassembly systems.
Research Focus
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Top Papers
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