Nengmin Wang
Papers
1
Total Citations
29
H-Index
1
About
Nengmin Wang is a distinguished researcher in operations research and industrial engineering, with a primary focus on scheduling optimization in automated manufacturing systems. His work centers on the complex challenges of robotic cell scheduling, particularly addressing bi-objective optimization problems that balance competing performance metrics. In his highly cited 2013 paper, Wang made a significant contribution by tackling bi-objective cyclic scheduling in robotic cells with processing time windows and non-Euclidean travel times—a more realistic and mathematically challenging scenario that relaxes the traditional triangular inequality assumption. This work developed tight bi-objective solutions, advancing the theoretical foundations of scheduling under realistic constraints. With 29 citations, this paper has influenced subsequent research in manufacturing optimization and automated systems. Wang's contributions are particularly valuable for industries relying on robotic automation, where efficient scheduling directly impacts productivity and operational costs. His research bridges theoretical optimization with practical manufacturing constraints, making him a notable figure in the field of production scheduling and operations management.
Research Focus
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Top Papers
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