Enrolments for 2022 have closed.
Supply Chain Analytics
Undergraduate | RMI-LGM210 | 2022
Course information for 2022 intake View information for 2024 course intake
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
- Prior study needed
- Duration
- 13 weeks
HECS-HELP and FEE-HELP available
Supply Chain Analytics
About this subject
On successful completion of this subject you will be able to:
- Use selected concepts, principles and procedures related to supply chain management for effective decision making
- Investigate various methods to assess logistics and distribution practices
- Apply the tools and underlying principles of logistics to optimise operations in network models
- Identify and evaluate the processes, tools and principles of logistics practices in the manufacturing and service sectors
- Apply mathematical solutions to optimise supply chain networks and logistics problems.
- Please refer to RMIT University’s Learning Management System - Canvas, for further details.
This subject provides an introduction to quantitative methods that can be used in industry. You will acquire advanced spreadsheet and database modelling skills. The subject will introduce static and dynamic models of supply chains and logistics systems. Specifically it will apply transport and transhipment models to optimise supply chains.
The subject will enhance your appreciation of logistics and the usefulness of mathematical and statistical models in solving logistics problems. You will learn to think systematically about the fundamental processes involved and to evaluate the performance of a supply chain as a system. You will also develop your critical thinking skills to the point where you are able to deliberate on contemporary issues in supply chain management.
- Assessment Task 1 (Linked CLOs: 1, 2, 3, 5) (20%)
- Assessment Task 2 (Linked CLOs: 1, 2, 3, 4, 5) (30%)
- Assessment Task 3 (Linked CLOs: 1, 2, 3, 4, 5) (50%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
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.
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