ChengShun Dong
Papers
1
Total Citations
10
H-Index
1
About
ChengShun Dong is a researcher focused on advancing sustainable manufacturing through optimization of robotic disassembly systems. His primary research areas include multi-objective optimization, metaheuristic algorithms, and stochastic production line balancing under resource constraints. Dong’s most notable contribution is the development of a Multi-Objective Ant Lion Optimizer, a novel algorithm designed to solve the stochastic robotic disassembly line balancing problem—a critical challenge in efficiently dismantling end-of-life products for reuse and recycling. This work, published in 2021 and garnering 10 citations, addresses the inherent uncertainty and resource limitations in real-world disassembly processes, offering a robust solution that balances multiple conflicting objectives. By integrating nature-inspired computation with practical manufacturing constraints, Dong’s research directly supports the circular economy, enabling industries to recover valuable materials from waste while minimizing environmental impact. His innovative approach to combining swarm intelligence with disassembly line design has made him a rising voice in sustainable manufacturing and industrial engineering, with potential to influence future automation strategies in recycling and remanufacturing sectors.
Research Focus
Key Achievements
Top Papers
- 1