Nie Wei is a Doctoral student under the supervision of Dr Mukesh Kumar. As part of the Industrial Resilience Research Group, her research focuses on supply chain disruption management and resilience development through modelling & simulation.
Prior to her PhD study, Nie Wei obtained an MPhil in Industrial Systems, Manufacture and Management from the University of Cambridge, where she worked with Dr Katharina De Vita and Dr Tariq Masood on ontology development using deep learning skills for demonstration environments. She also graduated from the National University of Singapore with a BEng. In Industrial Systems Engineering & Management (Distinction) with a second major in mathematics. She was supervised by Dr Lee Loo Hay and Dr Chew Ek Peng for a thesis project on simulation analytics in optimising berth allocation for liner shipping. Her undergraduate study was fully funded by NUS Science & Technology Scholarship.
Nie Wei has working experience with the semiconductor industry, especially in the area of production planning and planning data science. Before she joined the IfM for her PhD study, she worked as a research assistant at Tsinghua University in China. She was supervised by Dr Xie Xiaolei for a research project on energy-efficient scheduling.
Research Interests:
System Modelling & Simulation (Discrete-event simulation)
Supply Chain Resilience
Supply Chain Disruption Management
Supply Chain Analytics
- 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
- Fluids in Advanced Manufacturing
- Healthcare
- Industrial Photonics
- Industrial Resilience
- Industrial Sustainability
- Inkjet Research
- Innovation and Intellectual Property
- International Manufacturing
- Manufacturing Industry Education Research
- NanoManufacturing
- Science, Technology & Innovation Policy
- Strategy and Performance
- Technology Enterprise
- Technology Management
- Service Alliance
- University Commercialisation and Innovation Policy Evidence Unit