Zhiying Xu
Papers
1
Total Citations
9
H-Index
1
About
Zhiying Xu is a leading researcher in sustainable manufacturing and operations optimization, with a primary focus on disassembly line balancing and green production systems. Their most cited work introduces a multi-objective discrete strength Pareto evolutionary algorithm II to address the complex challenge of multi-product partial U-shaped disassembly line balancing. This contribution is pivotal in enhancing disassembly efficiency while simultaneously reducing energy consumption and improving profitability—a critical advancement for the circular economy. With 9 citations on this key paper, Xu’s research directly tackles the trade-offs between economic and environmental objectives in remanufacturing. Their work stands out for integrating evolutionary computation with real-world industrial constraints, offering practical solutions for end-of-life product recovery. Xu’s achievements include pioneering algorithmic frameworks that enable manufacturers to optimize partial U-shaped lines for multiple products, a configuration often overlooked in traditional line balancing. This research not only advances theoretical knowledge in multi-objective optimization but also provides actionable tools for reducing waste and energy use in disassembly operations. For students and researchers, Xu’s work exemplifies how computational intelligence can drive sustainable industrial practices.
Research Focus
Key Achievements
Top Papers
- 1