Teaching and Assessing Supply Chain Modelling Modules in Higher Education
Teaching and assessing mathematical based modules represent a real challenge not only for lecturers but also for students. This research evaluates a selection of current teaching and assessment methods used in different modules taught in higher education within a logistics and supply chain management environment. This investigation aims to provide a framework that stresses continuous improvements in teaching and assessing logistics and supply chain modelling modules in higher education programmes. The conclusion summarises the key finding of this research and at the same time highlights key steps required for further research.
||Teaching Supply Chain Modelling, Practical and Computer-Based Assessment, Independent Learning
The International Journal of Learning, Volume 16, Issue 3, pp.283-292.
Article: Print (Spiral Bound).
Article: Electronic (PDF File; 1.209MB).
Senior Lecturer, Transport and Logistics Division, School of Applied Sciences, The University of Huddersfield, Huddersfield, UK
Dr. Nicoleta S Tipi is senior lecturer in logistics operation techniques and supply chain decision support and modelling. She is the module leader for a number of modules from undergraduate to Masters level. Nicoleta is course
leader for the MSc Global Logistics and Supply Chain Management and Academic co-coordinator for Transport and Logistics Research Unit in Huddersfield. Nicoleta also acts as a PhD project supervisor for a number of projects in the
area of supply chain modelling, performance measures, inventory control polices and logistics education. She has considerable industrial experience having spent time in Unilever, Home and Personal Care Europe as a Supply Chain
Modelling Manager. She has a PhD from The University of Sheffield (UK), Department of Automatic Control and System Engineering in the area of supply chain systems modelling and an MA in Professional Development (Higher Education
Practice) from the University of Huddersfield.
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