Haolin Song
Papers
2
Total Citations
16
H-Index
2
About
Haolin Song is a rising researcher in intelligent remanufacturing and industrial automation, with a primary focus on the optimization of disassembly line balancing problems. His work addresses critical challenges at the intersection of robotics, sustainability, and manufacturing efficiency. Song’s major contributions include pioneering the study of two-sided partial destructive disassembly line balancing under electrical constraints and time-of-use pricing, a novel approach that integrates energy cost management into remanufacturing processes. He has also advanced the field by tackling the often-overlooked issue of component non-disassemblability (CND) in multi-robot collaborative disassembly for multi-product scenarios, proposing practical solutions for industrial applications. His most cited paper (11 citations) explores engineering applications of these concepts, while his 2025 work on multi-robot systems has already garnered 5 citations, reflecting growing interest in his research. By addressing real-world constraints like electrical limiting and CND, Song is helping to shape the future of intelligent, cost-effective, and sustainable disassembly systems—a key enabler of the circular economy.
Research Focus
Key Achievements
Top Papers
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