Timetable of the event

A74/A76 Science and Technology Building (SAT)

10:30-11:00 Registration (with tea & coffee)
11:00-11:10 Welcome
11:10-12:00 Dolores Romero Morales (Copenhagen). On Enhancing the Interpretability of Data Science Models
12:00-12:30 Jack Baker (Peak AI). Optimising supply chains in fast-moving consumer goods retailers
12:30-13:00 Sandra Benítez-Peña (Seville). Mathematical optimization for feature selection in DEA
13:00-14:00 Lunch
14:00-14:30 Jamie-Leigh Chapman, NHS Estimation window selection for forecasting time series
14:30-15:00 Luke Dyer (Peak AI). Case study of managing forecasting errors during inventory planning
15:00-15:30 Marek Eliáš (EPFL). Online metric algorithms with untrusted predictions
15:30-16:00 Tea & Coffee Break
16:00-16:30 Akshay Gupte (Edinburgh).
16:30-17:20 Dick den Hertog (Tilburg). Reducing the Impact of Prediction Errors by Robust Optimization

A54 Postgraduate Statistics Centre (PSC)

09:25-10:15 Ruud Teunter (Groningen). Prediction and Optimization for Inventories
10:15-10:45 Alisdair Wallis (Tesco PLC). Predictive and prescriptive analytics at Tesco
10:45-11:15 Tea & Coffee Break
11:15-11:45 Anne Meyer (Dortmund). Predict or classify? Planning profitable tours for field sales forces
11:45-12:15 Konstantinos Nikolopoulos (Bangor Business School). Tackling uncertainties in a closed-loop supply chain
12:15-12:45 Nicola Rennie (Lancaster). Identifying and responding to outlier demand in revenue management
12:45-13:45 Lunch
13:45-14:15 Trevor Sidery (Tesco PLC). Removing bias from predict–optimise methods
14:15-14:45 Cathagay Iris (Liverpool). Data-driven optimisation for maritime fleet management
14:55-15:15 Ivan Svetunkov (Lancaster). Multistep estimators and shrinkage in univariate models
15:15-15:30 Closing and farewell