Shengnan Wang
Papers
1
Total Citations
8
H-Index
1
About
Shengnan Wang is a researcher focused on sustainable manufacturing and the energy-efficient operation of industrial robots. Her work addresses the critical intersection of automation and environmental responsibility, exploring how data-driven methods can optimize robot performance while reducing energy consumption. In her highly cited 2018 paper, "Energy-efficient concurrent assessment of industrial robot operation based on association rules in manufacturing," Wang introduced a novel framework that uses association rule mining to evaluate and improve the energy profile of industrial robots in real-time production environments. This contribution provides manufacturers with a practical tool for achieving sustainability goals without sacrificing productivity. With 8 citations, this work has informed subsequent studies in green manufacturing and smart factory optimization. Wang’s research is particularly valuable for engineers and researchers seeking to align Industry 4.0 technologies with global sustainability targets, demonstrating how intelligent data analysis can drive both economic and environmental gains in modern manufacturing.
Research Focus
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Top Papers
- 1