Papers
1
Total Citations
21
H-Index
1
About
Zitong He is a researcher advancing the frontiers of manufacturing systems engineering and decision science. His work centers on developing sophisticated evaluation models for advanced manufacturing machine tools, integrating objective-grey information theory with knowledge-based clustering and grey relational analysis. In his most-cited paper (2020, 21 citations), He addresses a critical challenge in modern manufacturing: how to systematically assess and select advanced manufacturing machines that balance high-quality production with cost efficiency. This model provides a robust framework for managers navigating the complex trade-offs in production unit economics. By fusing grey system theory with multi-criteria decision-making, He offers a practical tool for optimizing resource allocation in manufacturing societies. His contributions are particularly valuable for industries seeking to maintain competitive advantage through strategic equipment investment. He’s work stands at the intersection of operational research and industrial engineering, providing actionable intelligence for sustainable manufacturing growth.
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