Handbook home
Supply Chain Analytics (BUSA90521)
Graduate courseworkPoints: 12.5On Campus (Parkville)
For information about the University’s phased return to campus and in-person activity in Winter and Semester 2, please refer to the on-campus subjects page.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Please refer to the LMS for up-to-date subject information, including assessment and participation requirements, for subjects being offered in 2020.
Overview
Availability | January |
---|---|
Fees | Look up fees |
Rapid advancements in technology (particularly the internet), combined with fast and cheap computing power, have enabled firms to radically transform their industries by developing business models and reengineering their supply chains. This subject provides students with the ability to use appropriate tools and techniques to analyse strategic, tactical and operational decisions pertaining to inventory management, facility location, logistics and other supply chain management related decisions. In addition, students will be exposed to how real-world logistics and supply chain decisions have been made through relevant case studies.
Intended learning outcomes
On completion of this subject, students should be able to:
- Understand supply chain management metrics commonly used.
- Model the impact of quantity discounts and other trade promotions on order quantities.
- Balance the appropriate costs to choose the optimal ordering policies in a supply chain.
- Determine the level of safety inventory to achieve desired levels of product availability.
- Use managerial levers that improve supply chain profitability through the achievement of optimal service levels.
- Develop appropriate supply chain contracts that will increase the overall supply chain profitability through improved coordination.
- Evaluate various transportation network design options on their relative strengths and weaknesses and make the right choice.
- Use optimisation for facility location and capacity allocation decisions.
- Explore how demand can be adjusted to match supply using revenue management techniques.
- Devise strategies based on the concept of risk pooling to mitigate the consequences of uncertainty.
Generic skills
- High level of development: problem solving; statistical reasoning; application of theory to practice; interpretation and analysis; synthesis of data and other information; evaluation of data and other information; use of computer software; accessing data and other information from a range of sources.
- Moderate level of development: written communication; critical thinking; receptiveness to alternative ideas.
- Some level of development: collaborative learning; team work
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
70% minimum grade required in each subject below:
All of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
BUSA90060 | Data Analysis |
September (On Campus - Parkville)
January (On Campus - Parkville)
June (On Campus - Parkville)
April (On Campus - Parkville)
September (On Campus - Parkville)
|
12.5 |
BUSA90227 | Operations |
September (On Campus - Parkville)
April (On Campus - Parkville)
January (On Campus - Parkville)
June (On Campus - Parkville)
|
12.5 |
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
Melbourne Business School welcomes applications from eligible students for a variety of graduate degrees offered by its programme portfolio. These degrees require following attributes for academic study:
• The ability to explain and evaluate concepts, theories, and business operations of organisations
• Ability to use analytic techniques to solve business problems
Melbourne Business School welcomes applications from students with disabilities and takes reasonable steps to implement adjustments to provide equal participation opportunities for students with disability.
Last updated: 3 November 2022
Assessment
Due to the impact of COVID-19, assessment may differ from that published in the Handbook. Students are reminded to check the subject assessment requirements published in the subject outline on the LMS
Description | Timing | Percentage |
---|---|---|
Mid-term test
| Week 5 | 20% |
Syndicate assignment (equivalent to individual 500 words assessment) Each syndicate includes 5 – 6 syndicate members and students are assessed as a group.
| Week 8 | 30% |
Final examination
| End of term | 50% |
Last updated: 3 November 2022
Dates & times
- January
Mode of delivery On Campus (Parkville) Contact hours 30 hours Total time commitment 170 hours Pre teaching start date 6 January 2020 Pre teaching requirements students are required to complete approximately 15 hours of reading to prepare for the subject during pre-teaching period Teaching period 13 January 2020 to 19 March 2020 Last self-enrol date 7 January 2020 Census date 24 January 2020 Last date to withdraw without fail 28 February 2020 Assessment period ends 27 March 2020
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
Last updated: 3 November 2022