The amount of data generated within organisations is growing rapidly and the ability of supply chains to harness emerging opportunities and respond to issues of sustainability and resilience relies on the ability of managers to make effective decisions based on the information provided by careful analysis of data. Through this unit students develop a strong understanding of the basic techniques underpinning quantitative analysis for logistics and supply chain management and 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 and students are guided through the basic theories used in decision making. This unit emphasises how the theories are applied in practice, drawing on real world experience in quantitative analysis for logistics and supply chain management. The unit covers demand forecasting, spreadsheet modelling, optimisation of production and distribution using linear programming, simulation and quantitative performance management. The unit also introduces basic statistics and linear regression techniques.
Unit details and rules
Academic unit | Transport and Logistics Studies |
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Credit points | 6 |
Prerequisites
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None |
Corequisites
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ITLS5020 or ITLS5000 or TPTM5001 |
Prohibitions
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TPTM6495 or ITLS5200 or ITLS6203 |
Assumed knowledge
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None |
Available to study abroad and exchange students | Yes |
Teaching staff
Coordinator | Geoffrey Clifton, geoffrey.clifton@sydney.edu.au |
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