Yongliang Li
Papers
1
Total Citations
8
H-Index
1
About
Yongliang Li is a leading researcher in sustainable manufacturing and intelligent automation, with a primary focus on optimizing robotic disassembly line systems for energy efficiency and environmental sustainability. His most cited work, "Minimizing Energy Consumption and Line Length of Mixed-Model Multi-Robotic Disassembly Line Systems Using Multi-Objective Evolutionary Optimization" (2019, 8 citations), addresses the critical challenge of reducing carbon dioxide emissions in automated disassembly processes. Li’s major contribution lies in developing multi-objective evolutionary algorithms that simultaneously minimize energy consumption and line length, balancing economic and ecological goals in mixed-model production environments. This work is foundational for advancing green manufacturing, enabling industries to transition toward circular economies by making robotic disassembly both cost-effective and environmentally responsible. His research has significant implications for end-of-life product recovery, particularly in electronics and automotive sectors. Li’s achievements demonstrate a rare integration of optimization theory with practical robotic systems, positioning him as a key innovator in sustainable automation. His findings continue to guide engineers and policymakers in designing low-carbon, high-efficiency disassembly lines.
Research Focus
Key Achievements
Top Papers
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