Have you ever wondered what's involved in manufacturing and delivering a product to your door? A supply chain is the network of individuals and companies involved in creating a product and delivering it to the consumer. Large volumes of data are produced by supply chains, and it’s in using supply chain analytics that we can identify trends and produce insights to make sense of all this data.
Supply chain modelling and analytics skills are in high demand and are a must-have for supply chain management career success. You'll learn to formulate key activities of the supply chain, including networks and routing transportation models, resource allocation and production scheduling models, inventory management models, quality control models and project management. Learn how using analytics techniques, such as forecasting, regression, descriptive analytics, probability and decision analysis and optimisation can improve supply chains’ efficiency and effectiveness by enabling data-driven decisions.
Private Study: 117
Contact Hours: 33
Total: 150
Main assessment methods:
Group Project: Group presentation (10%), Group spreadsheet model (10%), Group report (1,500 – 2,000 words) (10%) (30% in total)
VLE Test (20%)
Individual computer-based project including spreadsheet model and report (1,500 – 2,000 words) (50%)
Reassessment methods :
100% coursework
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The most up to date reading list for each module can be found on the university's reading list pages.
See the library reading list for this module (Canterbury)
The intended subject specific learning outcomes.
On successfully completing the module students will be able to:
- Provide critical awareness of the nature of various modelling methods, stimulating students to appreciate the value of modelling in logistics and supply chain management to solve steady-state and dynamic problems.
- Apply core methodologies used in supply chain analysis and modelling, including statistics, regression, optimization and probability,
- Demonstrate an in depth knowledge of a number of Excel tools and functions that are commonly used in practice including the use of spreadsheet models for complex business decisions.
- Critically evaluate some of the software used in logistics and supply chain management and provide basic understanding and usage of such tools.
The intended generic learning outcomes.
On successfully completing the module students will be able to:
- Communicate findings effectively to specialist and non-specialist audiences.
- Demonstrate integrative capabilities to co-ordinate group tasks or eventually lead a team of multifunctional individuals;
- Write a technical report that incorporates many facets of IT such as presentational and graphical devices
- Effectively employ computer tools including the use of software and coding to provide practical solutions for modern logistical problems.
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