Access this on-demand session for a practical introduction to optimisation theory and how it can be applied to complex business challenges. Led by two experienced practitioners in advanced analytics and modelling, the session explains the main types of optimisation, when to use them and how they help organisations replace trial-and-error decision making with robust, data-driven solutions.

Using pre-built examples, the session demonstrates how optimisation models can be designed to balance cost, time and other operational constraints. Real scenarios are used to show how optimisation supports better decisions in areas such as production planning, scheduling, logistics and pricing. You will also gain an overview of the technology platforms available for building optimisation models and how these models can be packaged with custom interfaces to support adoption within your organisation.

Relevant across many sectors, this on-demand session is ideal for anyone responsible for improving process efficiency, operational performance or profitability in environments where many variables must be managed simultaneously.

• Food production and product development
• Fast moving consumer goods production
• Manufacturing
• Broadcast media which rely on advertising revenue from ad placement
• Optimised scheduling of staff within complex rota systems
• Logistics
• Optimisation of dynamic demand-based pricing