Do you always set plans and rarely achieve them because by the time they are published things changed? Do you generate a forecast and it’s always wrong? If these questions are familiar, this workshop is for you. It’s not your fault if your forecast is wrong and your plan fails – traditional deterministic forecasting and planning is seriously incomplete because it ignores uncertainties.
To explore and understand the enablers and barriers of OR model implementations within the National Health Service.
This project is funded by Global Challenge Research Fund. The project will focus on the analysis of the flow management practices (information, products, staff and patients) for the A&E and medical admissions in the Charle Nicole hospital in Tunisia
The goals of this study is to explore and evaluate the impact of special events such as holidays, weather, festivals and sport events in using several statistical forecasting methods to predict A&E patient volumes. A new model will be developed considering special events and will be compared to a benchmark and existing time series forecasting methods.