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Unit of Study

Quantitative Logistics and Transport
UoS Code ITLS5200
Credit points 6
Offered Semester 1 and Semester 2
Prerequisites None
Corequisites ITLS5000 or TPTM5001 or ITLS5100 or TPTM6241
Prohibitions QBUS5001 or TPTM6495
Assumed Knowledge Basic familiarity with Excel and some knowledge of simple arithmetic is required in this unit. However, resources are made available online before the start of semester for students who need extra assistance in this area.
Additional Information
Lectures 12 x 3.5 hr computer labs, 1 x 3.5 hr workshop.
Assessment computer exam (30%), individual report (30%), final exam (40%)
Description Supply chain management as well as logistics, transport and infrastructure management relies on the ability to make effective decisions based on the information provided by careful analysis of data. Students undertaking this unit will develop a strong understanding of the basic techniques underpinning quantitative analysis and will develop highly marketable skills in spreadsheet modelling and the communication and presentation of data to support management decision making. This unit emphasises the practical aspects of quantitative analysis with computer based workshops. Students are guided through the basic theories used in decision making but emphasis is placed on how the theories are applied in practice, drawing on real world experience in quantitative analysis. The unit covers demand forecasting, spreadsheet modelling, optimisation of production and transportation using linear programming, simulation and basic statistics and linear regression techniques.