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Supply Chain Analytics (BUSA90545)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable (login required)(opens in new window)
Contact information
Overview
Availability | October |
---|---|
Fees | Look up fees |
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: 31 January 2024
Eligibility and requirements
Prerequisites
Pre-requisite
Code | Name | Teaching period | Credit Points |
---|---|---|---|
BUSA90538 | Decision Making and Optimisation | March (On Campus - Parkville) |
12.5 |
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 31 January 2024
Assessment
Description | Timing | Percentage |
---|---|---|
Syndicate assignment
| Week 4 | 30% |
Midterm test
| From Week 4 to Week 5 | 20% |
Final examination
| Week 9 | 50% |
Last updated: 31 January 2024
Dates & times
- October
Mode of delivery On Campus (Parkville) Contact hours Total time commitment 170 hours Teaching period 7 October 2024 to 29 November 2024 Last self-enrol date 17 October 2024 Census date 25 October 2024 Last date to withdraw without fail 15 November 2024 Assessment period ends 6 December 2024
What do these dates mean
Visit this webpage to find out about these key dates, including how they impact on:
- Your tuition fees, academic transcript and statements.
- And for Commonwealth Supported students, your:
- Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.
Last updated: 31 January 2024
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
Last updated: 31 January 2024