Show/hide contentOpenClose All
Curricular information is subject to change
1. Assess an industrial scenario through a case study and determine the key quantitative and qualitative factors that will influence the decision scenario.
2. Demonstrate the application of quantitative tools and techniques to analyse supply chain scenarios and to support decision making.
3. Critique the analytical results of supply chain scenario analysis with a view to improving supply chain management decision making competency.
4. Apply verbal communication through class participation and written communication through submission of case study reports.
Among the topics that will be covered are case studies relating to supply chain network design and optimisation, supply chain coordination, forecasting and demand planning, requirements planning and inventory management, capacity management, revenue management, enterprise resource planning and supply chain risk and resilience. In addition, students will
learn to apply the advanced analytics features of Microsoft Excel including Solver, Regression, Exponential Smoothing.
Student Effort Type | Hours |
---|---|
Tutorial | 6 |
Laboratories | 4 |
Specified Learning Activities | 12 |
Autonomous Student Learning | 24 |
Online Learning | 8 |
Total | 54 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Presentation: Video Presentation | Week 9 | n/a | Graded | No | 100 |
Resit In | Terminal Exam |
---|---|
Spring | No |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
Written feedback will be provided to students on case study reports: post-assessment Overall class feedback will be provided: post-assessment