Teaching and Assessing Supply Chain Modelling Modules in Higher Education

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Teaching and assessing mathematical based modules represent a real challenge not only for lecturers but also for students. Researchers reveal that even though mathematical and computer modelling is considered to be one of the most important skills for students to learn, it is the most difficult and least- developed area in operational research/management science education due to the nature of the modelling process. This research evaluates current teaching and assessment approaches 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. Different methods were used for data collection to capture outside views from journal articles and books, to capture the view of the lecturers as well as to capture student’s views and perceptions towards this topic area. Qualitative and quantitative analyses were employed in order to identify issues in teaching and learning modelling based modules. The conclusion summarises the key finding of this research and at the same time highlights key steps required for further research.

Keywords: Teaching Supply Chain Modelling, Practical and Computer-Based Assessment, Independent Learning
Stream: Curriculum and Pedagogy; Student Learning, Learner Experiences, Learner Diversity
Presentation Type: Paper Presentation in English
Paper: Teaching and Assessing Supply Chain Modelling Modules in Higher Education

Dr. Nicoleta Tipi

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 four years 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.

Ref: L09P1218