Research interests
My research falls on the stochastic side of OR, with specific interests in healthcare, simulation optimisation and revenue management.
Healthcare OR: my work focuses on the optimisation of healthcare systems and analysis of infectious disease models. Current work involves projects on improving the operational efficiency of a local Emergency Department, reducing waiting lists for cardiology procedures post-covid-19 and modelling of Buruli Ulcer and dengue fever. Early work in this area focused on building and analysing models of tuberculosis and HIV using both compartmental models and discrete event simulation models to analyse cost-effectiveness and epidemiological effects.
Simulation: my focus is on the use of simulation for optimising stochastic systems. Current funded work in this area uses simulation optimisation to improve disaster relief in Indonesia, and using similar techniques to improve the efficiency of manufacturing processes. Earlier work has considered the classification of objects’ input data for simplification of simulation models, initiated by work with Ford Motor Company. I have interests in Bayesian methods, mixture models, bootstrapping and simulation optimisation.
Revenue management: my research has mostly concentrated on optimal pricing, originating in consultancy work with two major UK airlines. One particular interest is in consumer choice behaviour and in an earlier project, we considered how this could be incorporated into algorithms for pricing of delivery slots for online groceries. I was the principal investigator on an EPSRC funded project Dynamic Pricing in the Ferry Industry that developed algorithms for packing and pricing of vehicles on ferries.
Research group
Operational Research
Affiliate research groups
Healthcare Modelling, Revenue Management, Stochastic Programming and Simulation
Research project(s)
Professor Christine CurrieMathematical Sciences, University of Southampton, Highfield, Southampton, SO17 1BJ, UK
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