Analytics for Supply Chain & Operations

This subject focuses on quantitative models for informing supply chain and operational decisions. It explores techniques for how organisations can more effectively deploy operational and supply chain modelling using analytics to evaluate and analyse real time data to gain insights from them, including: demand forecasting, newsvendor optimal ordering, bullwhip effect and supply chain optimal ordering, optimizing production planning, queuing, and staff allocation. The subject will also equip students with the ability to apply big data analytic techniques and effectively communicating insights from their analyses with non-expert decision-makers and stakeholders (suppliers, customers, managers).