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
- Xia H, Li J, Li QJ, Milisavljevic-Syed J & Salonitis K. (2025). Integrating blockchain with digital product passports for managing reverse supply chain. Procedia CIRP, 132
- Xia H, Chen Z, Milisavljevic-Syed J & Salonitis K. (2024). Uncertain programming model for designing multi-objective reverse logistics networks. Cleaner Logistics and Supply Chain, 11(2772-3909)
- Edwards J, Xia H, Li QJ, Wells P, Milisavljevic-Syed J, .... (2024). Achieving net zero neighborhoods: a case study review of circular economy initiatives for South Wales. Journal of Cleaner Production, 469
- Xia H, Li J, Milisavljevic-Syed J & Salonitis K. (2024). Transformation of the product lifecycle value chain towards industry 5.0. IFAC-PapersOnLine, 58(8)
- Chen G, Ding W, Milisavljevic-Syed J, Xia H, Salonitis K, .... (2024). Shared Mental Models-Based Collaboration Method in Assembly Tasks for Multi-Agent Self-Organizing Systems.
- Milisavljevic-Syed J, Khan M, Xia H, Li J & Salonitis K. (2024). Charting the course: standardization of quality assurance in digital twin applications across product lifecycle. Procedia CIRP, 130(27)
- 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)
- Milisavljevic-Syed J, Li J & Xia H. (2023). Realisation of responsive and sustainable reconfigurable manufacturing systems. International Journal of Production Research, 62(8)
- 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)