Papers
1
Total Citations
3
H-Index
1
About
Hongtao Hu is a leading researcher in sustainable manufacturing and intelligent production logistics, with a primary focus on optimizing material handling systems in mixed-model assembly lines. His most-cited work introduces an innovative iterated-local-search-based chaotic differential evolution algorithm to address the complex challenge of hybrid-load part feeding scheduling. By integrating mobile robots as clean-energy material handling tools, Hu’s research directly tackles the dual imperatives of reducing energy consumption and minimizing lineside inventory at workstations—critical goals for sustainable production. His contributions advance the field of production scheduling by developing metaheuristic optimization methods that balance operational efficiency with environmental responsibility. With growing recognition in the operations research and industrial engineering communities, Hu’s work is shaping next-generation smart manufacturing systems. His research not only provides practical solutions for real-world assembly line management but also establishes a framework for integrating renewable energy technologies into traditional production environments, making him a key figure in the transition toward greener, more efficient industrial operations.
Research Focus
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Top Papers
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