Shancheng Zhang
Papers
3
Total Citations
31
H-Index
3
About
Shancheng Zhang is a leading researcher in sustainable manufacturing and intelligent optimization, with a focused expertise in robotic disassembly line balancing—a critical area for tackling the growing global crisis of electronic waste. His work directly addresses the environmental and resource challenges posed by End-Of-Life (EOL) products by developing advanced algorithms to make disassembly processes more efficient and automated. Zhang’s major contributions lie in pioneering multi-objective optimization frameworks, particularly the Multi-Objective Multi-Verse Optimizer (MOMVO), to solve complex, real-world disassembly problems. He has tackled multi-robotic, multi-product, and U-shaped line configurations, which are notoriously difficult to balance for maximum productivity and minimal cost. His most cited paper (19 citations) introduces a novel MOMVO for multirobotic U-shaped lines, while his other highly-cited works extend this to partial U-shaped and parallel line setups. Collectively, his research provides a robust, algorithmic foundation for automating the recycling of electronics, directly contributing to a circular economy. Zhang’s work is essential reading for researchers in industrial engineering, operations research, and sustainable systems, offering practical solutions for reducing environmental pollution and recovering valuable resources from our discarded technologies.
Research Focus
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Top Papers
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