Cutting-edge research that delivers real business solutions
Management Science and Statistics
Activity is directed at the sustained development of high quality research programmes addressing substantial decision problems confronting business, industry, commerce, health care and government (90% internationally recognised at RAE 2008).
Particular interests include: models of maintenance and reliability of technical systems; inventory and supply chain modelling, particularly at the interface of such with maintenance planning; the modelling of strategic decisions using System Dynamics; statistical and operational research modelling in medicine and health care management; and general methodologies that underpin all of these topics.
Staff
- Professor Rose Baker
- Professor Brian Dangerfield
- Dr Ian McHale
- Professor David Percy
- Professor Phil Scarf
- Professor Aris Syntetos (visiting professor)
PhD Study
For more information on applying to do a PhD at the Business School, please see our Business PhD page.
Projects
- Optimum Strategy in Sport (pdf)
- Predictive Maintenance and Capability Enhancement---work package 4 within Service and Supportability project co-funded by EPSRC and BAE for 2m (pdf)
- Stochastic Modelling Developments for CBM Applications Involving High Value, High Risk Systems
- Sustained Competitiveness in UK Construction Industry – analysis using system dynamics modelling (Big Ideas project)
Events
Publications
For more information on research publications, please see the University's central repository USIR.
To view the research publications of an individual member of staff, click on their name from the list above.
