Dr Nadia M Trent
Senior Lecturer in Supply Chain Management
Adult Education; Data mining; Engineering; Experiential Learning; Machine Learning; Management; Pedagogy; Supply Chain Management
Freight Transport Systems; Supply Chain Networks; Supply Chain Resilience; Data Science; Artificial Intelligence; Urban Planning
Qualifications: PhD Industrial Engineering; MS Industrial Engineering; BEng and BEng (Hons) Industrial Engineering; PGCert Higher Education
Contact DetailsEmail: [email protected]
Cellphone: +27 71 610 6051
Nadia is a senior lecturer in supply chain management at the University of Waikato Management School. Her research focuses on the resilience of national and global supply chain systems and how these systems affect quality of life and equity within communities. With her background in engineering, she explores these topics using various data science and simulation modelling techniques.
Before joining the University of Waikato, Nadia was a senior lecturer in Industrial Engineering at the University of Pretoria, a consulting engineer for GAIN Group (Pty) Ltd., a research assistant at the Georgia Tech Supply Chain and Logistics Institute, and a research group leader for the CSIR.
- Chartered Member (CMEngNZ) of Engineering New Zealand
- Member of the Transportation Group
- Professional Engineer (Pr.Eng.) registered with the Engineering Council of South Africa
In the media
The COVID-19 pandemic has illustrated how important supply chain resilience is. Nadia commented on how current events affect New Zealand supply chains:
- How the port blockage threatens our global trade network
- What the Suez Canal blockage can teach us about our vulnerable supply chains
Nadia received a number of awards for her role in piloting the Vertically Integrated Projects (VIP) Programme at the University of Pretoria in collaboration with the VIP Consortium and the Georgia Institute of Technology. These awards include:
- 2020 Chancellor's Award for Teaching and Learning (University of Pretoria)
- 2019 Departmental Award for Teaching and Learning (University of Pretoria)
- VIP Consortium award for Pioneering Implementation 2019
In the classroom, Nadia strives to design learning experiences that cultivate curiosity, critical thinking, and industry-relevant skillsets.
Nadia has supervised more than 20 mini-dissertations (honours or masters level) in industrial engineering and data science at the University of Pretoria, South Africa. Most of the projects she supervised developed models (descriptive, explanatory, predictive, or prescriptive) to assist decision-making in specific industry contexts.
Nadia's research focuses on the resilience of national and global supply chain systems and how these systems affect quality of life and equity within communities. With her background in engineering, she explores these topics using various data science and simulation modelling techniques.
Her PhD focused on using complex network theory to develop supply chain vulnerability metrics for distribution networks in urban areas. She has also used complex network theory to study the global maritime and aviation networks as well as supply chain configurations in urban areas.
More recently Nadia has collaborated with computer scientists to develop methods that can turn commercial vehicle GPS data into insightful knowledge regarding supply chain behaviour.
Being a lecturer, she has developed a keen interest in experimenting with education innovations, and reporting on these is short case studies.
Amoo, M. E., Bringardner, J., Chen, J. Y., Coyle, E. J., Finnegan, J., Kim, C. J., . . . Ward, B. C. (2020). Breaking down the silos: Innovations for multidisciplinary programs. In ASEE Annual Conference and Exposition, Conference Proceedings Vol. 2020-June.
Trent, N. M., Joubert, J. W., & Bean, W. L. (2020). Engineering students' perspectives on the use of group work peer assessment in two undergraduate Industrial Engineering modules. In 2020 IFEES World Engineering Education Forum - Global Engineering Deans Council, WEEF-GEDC 2020. doi:10.1109/WEEF-GEDC49885.2020.9293644
Trent, N. M., Joubert, J. W., Gidofalvi, G., & Kordnejad, B. (2020). A matching algorithm to study the evolution of logistics facilities extracted from GPS traces. Transportation Research Procedia, 46, 237-244. doi:10.1016/j.trpro.2020.03.186
Viljoen, N. M., & Joubert, J. W. (2019). Supply chain micro-communities in urban areas. Journal of Transport Geography, 74, 211-222. doi:10.1016/j.jtrangeo.2018.11.011
Find more research publications by Nadia Trent