Newcastle University

Roles and Responsibilities

Director of Executive Programmes

Qualifications

BA (Hons) Management Science with Computing (University of Kent)
MBA with Distinction (University of Newcastle)
PhD in Statistics (University of Newcastle)

Memberships

1999, Fellow of the Royal Statistical Society

Research Interests

Applied Bayesian statistical modelling. In particular the application of these

techniques to financial time series and the subsequent derivation of efficient

portfolios, through decision theoretic approaches.

Through work with two of my PhD students I have become interested in military

supply chains, both from a forecasting perspective and how lean techniques can be

applied to these unique environments.

I am developing a research theme around the branding of MBA programmes and the decision processes of applicants and how these are influenced by the brand of the school.

Postgraduate Teaching

• Managing Information (Executive MBA)
• Managing Information (Full Time MBA)
• Management Consultancy (Exec MBA)
• Management Consultancy (FT MBA) 
• Strategy and Operations Management (Stage 2 UG)
• Advanced Strategy and Operations Management (Stage 3 UG) 
• Business Decision Making (Masters Elective)
• Masters Research Methods teaching

• Pitsis TS, Dehlin E, Simpson A, ed. The Handbook of Organizational and Managerial Innovation. Gloucester: Edward Elgar Publishing, 2012. In Press.
• Fowler A, Samuel J, Simpson A. Knowledge into Practice in air traffic control systems. In: British Academy of Management Annual Conference. 2003, Harrogate, UK.
• Simpson A, Wilkinson DJ. Computationally Intensive Techniques for a Fully Bayesian, Decision Theoretic Approach to Financial Forecasting and Portfolio Selection. Computing Science and Statistics 2002, 33, 472-483.
• Moon S, Simpson A, Hicks C. The development of a classification model for predicting the performance of forecasting methods for naval spare parts demand.. In: 16th International Symposium on Inventories.2010,Budapest, Hungary
• Moon S, Hicks C, Simpson A. The development of a hierarchical forecasting method for predicting spare parts demand in the South Korean Navy. In: Sixteenth International Working Seminar on Production Economics. 2010, Innsbruck, Austria.