PAN Ershun

PAN Ershun is a Professor in the Department of Industrial Engineering and Logistics Engineering at the School of Mechanical Engineering, Shanghai Jiao Tong University. His research interests include Advanced Quality Control, Reliability Engineering and Maintenance Policy, and Lean Manufacturing Technology. He has led numerous research projects funded by national and provincial programs, including the National Natural Science Foundation of China and the Shanghai Science and Technology Commission. His work has been published in several SCI-indexed journals, contributing to the fields of manufacturing systems and quality engineering.

Ershun Pan is a researcher at Shanghai Jiao Tong University focusing on prognostics and health management (PHM) for advanced manufacturing systems. Their work integrates machine learning, statistical modeling, and optimization techniques to enhance predictive maintenance and system reliability. Key areas include remaining useful life estimation, health feature extraction, and maintenance scheduling for complex industrial systems. Pan's research emphasizes the development of data-driven models for condition-based maintenance, such as convolutional bi-directional LSTM networks and hidden Markov models. They also explore the integration of production scheduling with maintenance planning to improve operational efficiency and minimize job tardiness.