Papers
3
Total Citations
33
H-Index
3
About
Toly Chen is a leading researcher at the intersection of advanced manufacturing, fuzzy logic, and intelligent automation. His work centers on enhancing manufacturing systems through predictive control, collaborative intelligence, and cloud-based planning. Chen’s most cited paper, “Predictive distant operation and virtual control of computer numerical control machines” (2015, 16 citations), introduced a novel framework for remotely operating CNC machines, blending predictive algorithms with virtual control to improve precision and safety in manufacturing. During the COVID-19 pandemic, Chen addressed urgent needs with “A partial-consensus and unequal-authority fuzzy collaborative intelligence approach for assessing robotic applications” (2023, 10 citations), developing a method to evaluate robotic deployment in healthcare settings where expert opinions vary in authority. His 2020 study, “A fuzzy mid-term capacity and production planning model for a manufacturing system with cloud-based capacity” (7 citations), tackled a critical gap in cloud manufacturing by extending planning horizons beyond short-term scheduling, using fuzzy logic to handle uncertainty in capacity allocation. Chen’s contributions are notable for their practical relevance—bridging theoretical fuzzy systems with real-world manufacturing challenges—and for pioneering remote and collaborative approaches that anticipate Industry 4.0 and pandemic-era needs. His work continues to influence researchers and practitioners in smart manufacturing and fuzzy decision-making.
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