
Wei Nie is a doctoral student in the Industrial Resilience Research Group, supervised by Mukesh Kumar. Her research explores how supply chain visibility, traceability and transparency can inform modelling and simulation to support operational, tactical and strategic decision making. Focusing on critical minerals and semiconductor supply chains, she uses publicly available data to uncover supply chain structures and integrates system dynamics, agent-based modelling and discrete-event simulation to stress test these supply chains and evaluate resilience strategies.
She holds an MPhil in Industrial Systems, Manufacture and Management from the University of Cambridge and a BEng (Hons.) in Industrial Systems Engineering and Management, with a second major in Mathematics, from the National University of Singapore. She previously worked as a data scientist in the semiconductor industry, focusing on production planning.
- Institute for Manufacturing
- 17 Charles Babbage Road
- Cambridge CB3 0FS
Research
- Artificial Intelligence
- Asset Management
- Business Model Innovation
- Computer Aided Manufacturing
- Decision-Making for Emerging Technologies
- Design Management
- Digital Manufacturing
- Distributed Information & Automation Laboratory
- Ecosystems, Platforms & Strategy
- Fluids in Advanced Manufacturing
- Healthcare
- Industrial Photonics
- Industrial Resilience
- Industrial Sustainability
- Inkjet Research
- Innovation and Intellectual Property
- International Manufacturing
- Manufacturing Industry Education Research
- NanoManufacturing
- Nexus of Energy and Water Processes
- Science, Technology & Innovation Policy
- Strategy and Performance
- Technology Enterprise
- Technology Management
- Service Alliance
- University Commercialisation and Innovation Policy Evidence Unit








