Every organisation faces challenging decisions (production quantities, routing of delivery vehicles, warehouse locations, ...) under numerous physical, legal and contractual limits, often complicated by the large, messy data sets.  We design and develop mathematical models, heuristics and algorithms to support decision makers in industry, government and third sector to achieve their goals and maximise their potential.

The Optimisation and Analytics Group in the Department of Management Science has worked on industrial problems as diverse as identifying optimal orbits for satellites, developing machine learning algorithms to optimise package sizes in e-commerce, employing blockchain to build decentralised trust management systems in engineering, creating individual treatment plans for cancer patients, and designing networks of collection centres for retailers.