Feng-Bao Cui
Papers
1
Total Citations
47
H-Index
1
About
Feng-Bao Cui is a distinguished researcher in industrial engineering and decision science, with a primary focus on multi-criteria decision-making (MCDM) methodologies and their applications in manufacturing systems. His most influential work, "Robot Evaluation and Selection with Entropy-Based Combination Weighting and Cloud TODIM Approach" (2018, 47 citations), addresses the critical challenge manufacturers face when selecting robots for production environments. By integrating entropy-based weighting with the Cloud TODIM approach, Cui developed a robust framework that handles uncertainty and subjective judgment in complex industrial decisions. This contribution has provided practitioners with a systematic tool to evaluate robot performance across multiple criteria, enhancing productivity and quality in automated manufacturing. His research bridges theoretical MCDM models with real-world industrial needs, offering actionable insights for technology adoption. Cui’s work is widely cited by scholars in operations research and production management, reflecting its practical relevance and methodological rigor. Through his innovative integration of fuzzy logic and decision analysis, he continues to shape how industries approach technology selection in an era of increasing automation complexity.
Research Focus
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Top Papers
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