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We work with engineering, mathematics, statistics, computer science and management science to improve system modelling. 



ORUA specialises in combining Operations Research and Analytics to provide advanced, data-driven tools for decision makers.

The key concepts behind these decision support tools are:

  1. measure to generate new data and/or simulate to utilise existing data and visualise how systems behave/perform;
  2. leverage new/existing data to develop predictive models, e.g., using statistical modelling or machine learning, that determine what happens next in a system;
  3. employ real-time optimisation methods to change system behavior dynamically and improve performance; and
  4. combine simulation and optimisation to determine how to best reconfigure a system to improve performance.

Our work is translational across many application areas.


ORUA works closely with industry partners in several sectors including Health, Construction, Infrastructure Planning and Government. We develop customised solutions that combine our cutting edge OR and Analytics knowledge with state-of-the-art tools such as the R Statistical Language, Python, SQL, SAS, Gurobi Optimization, and the JaamSim 3D Simulation Engine.

ORUA is part of the Operations Research and Computational Analytics (ORCA) group consisting of 8 academics, 15+ PhD students and over 30 Honours Year students each year. ORCA sits within the Department of Engineering Science (DES) which is part of the Faculty of Engineering. ORUA has active collaborations with other departments at the University of Auckland including Statistics (Faculty of Science), Civil Engineering, and Information Systems and Operations Management (Business School).

ORUA has worked with national and international companies including M & G Investments, ICS Consulting, and Hewlett Packard as well as international universities including Stanford University, Oxford University and St Andrews University.


ORUA’s research into OR and Analytics provides intelligence in many application areas including:

  • Health
  • Logistics
  • Construction
  • Infrastructure planning
  • Computing
  • Finance
  • Government