Operational Research and Systems Analysis

Module aims

To introduce the students to some of the operational research methods that are used in the systems approach to Engineering and Management, so as to provide them with the requisite tools for the mathematical representation of decision-making problems, in particular emphasising the roles of uncertainty and risk.

Learning outcomes

On successfully completing this course unit, students will be able to: Use standard dynamic programming techniques. Represent a system using Markov Chains. Have an understanding of how operational research techniques can be applied to engineering decision-making (resource allocation; production scheduling; environmental risk minimisation; transport planning). Ability to use software to quickly prototype mathematical programming models relating to engineering problems. Utilise skills in optimisation, decision-making, and stochastic methods.

Assessments

This information is provided separately via the Student VLE System

Reading list

Module leaders

Dr Christian Onof