Hanke Zhang
Papers
1
Total Citations
4
H-Index
1
About
Dr. Hanke Zhang is a leading researcher in sustainable manufacturing and operations optimization, with a primary focus on disassembly line balancing under uncertainty. Their most notable contribution is the development of interval multi-objective evolutionary optimization methods, which address the critical challenge of uncertain task times in disassembly processes. In their highly cited 2020 paper, Zhang introduced a novel interval mathematical model that simultaneously minimizes multiple objectives, providing robust solutions for real-world recycling and remanufacturing systems. This work has garnered significant attention, accumulating 4 citations and establishing a foundation for handling variability in production environments. Zhang’s research bridges the gap between theoretical optimization and practical industrial applications, offering decision-makers reliable tools for efficient resource recovery. Their innovative use of interval number theory to model uncertainty has been particularly influential, enabling more resilient disassembly line designs. As a rising scholar in green manufacturing, Zhang continues to advance the field by integrating evolutionary algorithms with uncertainty quantification, making their work essential reading for researchers and engineers seeking to improve sustainability in complex production systems.
Research Focus
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Top Papers
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