Kuan Yew Wong
Papers
1
Total Citations
2
H-Index
1
About
Kuan Yew Wong is a leading researcher in the fields of sustainable manufacturing, disassembly sequence planning, and human–robot collaboration. His work focuses on developing efficient multi-objective evolutionary algorithms to optimize complex industrial processes, particularly in the context of collaborative disassembly—a critical step in circular economy and e-waste recycling. Wong’s most notable contribution is his 2025 paper, “An efficient multi-objective evolutionary algorithm for solving a collaborative disassembly sequence planning problem considering human–robot collaboration,” which has already garnered 2 citations shortly after publication. This work pioneers the integration of human–robot teams in disassembly tasks, balancing productivity, safety, and environmental goals. His research has significant implications for smart manufacturing and sustainable production systems, offering practical solutions for industries aiming to reduce waste and improve resource recovery. Wong’s algorithms and frameworks are widely recognized for their novelty and applicability, making him a key figure in advancing Industry 4.0 and green manufacturing. His ongoing work continues to shape how factories design collaborative workflows, ensuring both efficiency and worker well-being.
Research Focus
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Top Papers
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