Supply Chain Analytics (BUSA90545)

Graduate courseworkPoints: 12.5On Campus (Parkville)

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Overview

Availability
October
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Rapid advancements in technology (particularly the internet) combined with fast and cheap computing power has enable firms to radically transform their industries by developing business models and reengineering their supply chains. This component provides students with (i) knowledge of mathematical modelling and analytic tools relating to logistics and supply chain optimization problems, (ii) the ability to use these tools and techniques to analyse strategic, tactical and operational decisions pertaining to inventory management, facility location, logistics and other supply chain management related decisions and (iii) exposure to real world logistics and supply chain decisions through case studies.

Intended learning outcomes

On completion of this subject, students should be able to:

  • Develop the skill to create mathematical models for diverse problems arising from the supply chain industry (e.g. location problems, inventory management, process optimisation).
  • Understand supply chain management metrics commonly used.
  • Learn the main methods (exact and heuristics) to find good solutions to the mathematical models.
  • Evaluate the appropriate method to solve a supply chain problem.
  • Learn how to model current challenges in the transportation industry regarding revenue management and auction design for procurement of transportation services.

Last updated: 4 March 2025