Operations Research

Operations Research is concerned with quantitative decision making in business, industry and government. It is the application of mathematics and the scientific method to problems such as resource allocation, inventory control, scheduling, optimal design, and the operation of large scale systems. It involves the use of such techniques as mathematical programming, graph theory, computer simulation, forecasting, and queueing theory. A knowledge of statistics is required for operations research applications.



The Operations Research group is currently interested in combinatorial optimisation, heuristic search methods for computational games and network optimisation, optimisation issues related to integer programming, analysis of scientific data using bayesian methods, reliability models, product warranty analysis and queueing models.

Mark Johnston is investigating solution methods for combinatorial optimisation problems related to vehicle routing and scheduling. He is also developing heuristic search methods in connection with computational games and network optimisation.

Stefanka Chukova's main research is focused on product warranty analysis. She undertakes theoretical as well as applied projects in this area. In addition Stefanka is working on problems in reliability modelling and queueing theory.

Tony Vignaux is interested in the analysis of scientific data using bayesian methods. He is a co-author of a book (Interpreting Evidence) on bayesian methods in forensic science and is a co-developer of the open-source simulation package SimPy.

Tapas Sarkar is investigating optimisation issues related to networks and integer programming.

School of Engineering and Computer Science
School of Mathematics, Statistics and Operations Research
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