Contact Hanbing Xia
Background
Hanbing earned her MSc in 2019 and BSc in 2017 in Logistics Management from the Jilin University, China respectively. Hanbing Xia is a PhD candidate specializing in Optimization of Automotive Reverse Supply Chain based on AI Techniques. She moved to University of Liverpool as a PhD research student, where she undertook her research within the Systems Realization Laboratory. She has now moved to Cranfield University to continue her research at the School of Aerospace, Transport and Manufacturing.
Current activities
Hanbing Xia is a member of Sustainable Manufacturing Systems Centre (SMSC) at Cranfield University, within School of Aerospace, Transport and Manufacturing. Her research focuses on developing a systematic method for decision-based design and modelling of recycling management for automotive reverse supply chain under uncertainty, leading to enhanced transparency and efficiency of information flow. Her research fits in the context of digital transformation of supply chain and logistic (Industry 4.0) and fits well into University's Digital research theme.
Publications
Articles In Journals
- Milisavljevic-Syed J, Li J & Xia H. (2024). Realisation of responsive and sustainable reconfigurable manufacturing systems. International Journal of Production Research, 62(8)
- Xia H, Han J & Milisavljevic-Syed J. (2023). Predictive modeling for the quantity of recycled end-of-life products using optimized ensemble learners. Resources, Conservation and Recycling, 197(October)
- Sani S, Xia H, Milisavljevic-Syed J & Salonitis K. (2023). Supply Chain 4.0: A Machine Learning-Based Bayesian-Optimized LightGBM Model for Predicting Supply Chain Risk. Machines, 11(9)