Papers
4
Total Citations
50
H-Index
4
About
Gongdan Xu is a leading researcher in sustainable manufacturing and intelligent disassembly systems, with a primary focus on optimizing disassembly line balancing problems for end-of-life (EOL) products. Their work addresses critical challenges in recycling and resource recovery by developing advanced multi-objective optimization algorithms. Xu’s major contributions include pioneering the application of metaheuristic algorithms—such as the discrete brainstorming optimizer, ant lion optimizer, and shuffled frog leading algorithm—to solve complex, stochastic disassembly problems involving robotic and human-robot collaborative lines. Notably, their 2023 paper on the multi-objective discrete brainstorming optimizer for stochastic multiple-product robotic disassembly has garnered 23 citations, highlighting its impact on the field. Xu has also advanced the understanding of multi-product partial U-shaped disassembly lines and resource-constrained robotic systems, with cumulative citations exceeding 50 across their top works. Their research is instrumental in improving disassembly efficiency, reducing energy consumption, and enhancing profitability in remanufacturing, making Xu a key figure in the transition toward circular economy practices.
Research Focus
Key Achievements
Top Papers
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