Large volumes of data are usually produced by supply chains. By identifying trends and producing insights, supply chain analytics aids in making sense of all this data.
Supply chain modelling and analytics skills are in high demand and are a must-have for a successful supply chain management career. You will learn to formulate key activities of the supply chain while emphasizing both the need for formulation and implementation. These include Networks and Routing Transportation models, Resource Allocation and Production Scheduling models, Inventory management models, and Project Management.
You will learn how to use analytics techniques, such as Forecasting, Regression, Descriptive analytics, Probability and Decision Analysis and Optimisation, which can be applied to improve supply chains’ efficiency and effectiveness by enabling data-driven decisions.
Lecture 16, PC Labs 16
Online Test (30 minutes) worth 20%.
Individual business report + Excel modelling exercise (2000 words) worth 80%.
Reassessment Method: 100% Written Assessment (Report – 2,000 words)
On successfully completing the module, students will be able to:
Critically examine and systematically apply various modelling methods that are commonly used in practice for doing supply chain analytics.
Critically evaluate various data-driven decision-making tools to analyse supply chain problems.
Communicate technical findings effectively to a business/industry audience.
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