Research Group Details

Operations Research

About

The discipline of Operations Research (OR) provides a scientific approach to decision making. Also known by titles such as Management Science, or Logistics, Operations Research involves formulating mathematical models of decision making problems, and developing or applying mathematical tools to obtain solutions. Many businesses and all large complex organisations face difficult decisions on a daily basis. For example, a manufacturing company must decide how much of each product it should be making at each point in time, how many products of each type it should keep in inventory, by what modes of transport and what routes it should distribute its product, which combination of new product development projects it should fund in the next year, which workers should be rostered on which shifts, how much overtime will be required of each worker, when it should replace or repair its equipment, and so on. The decisions made interact with each other and may have complex repercussions that are difficult to evaluate. Each decision involves making a trade-off between competing activities, often vying for limited resources. For example, a decision to maintain steady production levels may reduce production costs but increase inventory costs, while a decision to produce a large quantity of one product may deplete stock of a component needed for the timely production of another product. The mathematical techniques used in Operations Research are drawn from areas of mathematics such as Optimisation, Optimal Control and Probability and Statistics. The area of Optimisation, which is concerned with the mathematical problem of minimising or maximising a function or functions subject to constraints, plays a particularly important role since the objective of many decision making problems is to determine the minimum or maximum out of a set of alternatives; for example a production company might wish to make decisions so as to minimise its transportation costs or to maximise its workers' job satisfaction. Major subfields of Optimisation which are critical in solving Operations Research problems are Mathematical Programming, Dynamic Programming, Network Optimisation and Stochastic Modelling, all of which are the subject of active research by members and graduate students of the Operations Research Group in the Department of Mathematics and Statistics.

Seminar series

Discrete Structures and Algorithms

Academic Staff

A/Prof Alysson COSTA (Senior Lecturer)
Research interests: Mixed Integar Programming theory and applications to industry and public decision-making
Dr Mark FACKRELL (Senior Lecturer)
Research interests: Matrix-analytic methods, Game theory, Healthcare modelling, Operations Research, Stochastic Modelling
Dr Sophie HAUTPHENNE (Senior Lecturer)

A/Prof Charl RAS (Senior Lecturer)
Research interests: Survivable networks, Shortest network design, Discrete and computational geometry, Combinatorial optimisation
Dr Yuji SAIKAI (Teaching Specialist)

Prof Kate SMITH-MILES (Professor / Associate Dean (Industry & Enterprise))
Research interests: Combinatorial optimisation, Continuous optimisation , Multi-objective optimisation, Performance evaluation, Generation of hard test instances, Mathematical modelling, Parameter estimation, Dimensional reduction, Numerical linear algebra, Machine Learning, Operations Research
Dr Matthew TAM (Lecturer)
Research interests: Nonsmooth optimisation, Monotone operator theory, Symbolic computation
Prof Peter TAYLOR (Professor)
Research interests: Matrix-analytic methods, Markov decision processes, Complex Networks, Mechanism design, Optimisation and control, Parameter estimation, Stochastic modelling of biological/environmental systems, epidemics, telecommunications systems and emergency management systems, Queueing theory
Dr Lele (Joyce) ZHANG (Lecturer)
Research interests: Transport network modelling and optimisation, Operations Research
Prof Sanming ZHOU (Professor)
Research interests: Algebraic Graph Theory, Graph Structure and Dynamics, Random Graph Processes, Network Optimisation, Algebraic Combinatorics, Operations Research, Theoretical Computer Science

Research Fellows

A/Prof Hamideh ANJOMSHOA (Melbourne Enterprise Fellow)
Research interests: Operations Research, Mathematical modelling, Healthcare modelling, Machine Learning

Honorary Staff

Dr Christina BURT
Fellow (Associate)
Dr Andre COSTA
Fellow (Associate)
Dr Olivia SMITH
Fellow (Associate)
Dr Moshe SNIEDOVICH
Principal Fellow (Associate)
Dr Renata SOTIROV
Fellow (Associate)

Visitors

Dr Yangming LI (Department of Mathematics, Guangdong University of Education)
Professor Zhiyuan (Terry) LIU (Southeast University)