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Supply Chain Analytics

Undergraduate | RMI-LGM210 | 2024

Optimise logistics and distribution practices using state-of-the-art practices. 

Advance your spreadsheet and database modelling skills. Simulate real supply chain challenges. Wield mathematical and statistical models to work out logistics issues.

Study method
100% online
Assessments
100% online
Entry requirements
Part of a degree
Duration
13 weeks
Start dates
26 Feb 2024

HECS-HELP and FEE-HELP available

Supply Chain Analytics

About this subject

  • On successful completion of this subject you will be able to:

    1. Use selected concepts, principles and procedures related to supply chain management for effective decision making
    2. Investigate various methods to assess logistics and distribution practices
    3. Apply the tools and underlying principles of logistics to optimise operations in network models
    4. Identify and evaluate the processes, tools and principles of logistics practices in the manufacturing and service sectors
    5. Apply mathematical solutions to optimise supply chain networks and logistics problems.

Entry requirements

To enrol in this subject, you must be admitted into a degree.

Others

Assumed Knowledge: Business Statistics

Additional requirements

No additional requirements

Study load

0.125 EFTSL
This is in the range of 10 to 12 hours of study each week.

Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.

Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.

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