Hao Ming
Papers
2
Total Citations
140
H-Index
2
About
Dr. Hao Ming is a leading researcher in sustainable manufacturing and industrial automation, with a focus on the optimization of robotic disassembly systems. His work addresses critical challenges in end-of-life product processing, particularly the design and balancing of multi-robotic disassembly lines under uncertainty. Dr. Ming’s most influential contribution, "Multi-objective evolutionary simulated annealing optimisation for mixed-model multi-robotic disassembly line balancing with interval processing time" (2019), has garnered 118 citations. This seminal paper pioneers a method for simultaneously handling multiple product models and variable robot capabilities, using an advanced simulated annealing algorithm to optimize task allocation and energy consumption. He further advanced the field with his 2019 study on "Multi-Robotic Disassembly Line Balancing with Uncertain Processing Time" (22 citations), which models the real-world unpredictability of disassembly tasks. By integrating evolutionary algorithms with robust optimization, Dr. Ming provides practical solutions for increasing efficiency and reducing waste in automated recycling lines. His work is essential for researchers and engineers developing smart, adaptive manufacturing systems that can handle the complexity of mixed-model production and the inherent variability of robotic operations, directly contributing to the circular economy.
Research Focus
Key Achievements
Top Papers
- 1
- 2Multi-Robotic Disassembly Line Balancing with Uncertain Processing Time22 citations · 2019