The AMRC Manufacturing Intelligence team has the capabilities and expertise to develop numerical and simulation models to support projects and research in operations planning, facilities planning, supply chain modelling, cost analysis and trade-off analysis.     

Our team works very closely with the AMRC core research groups and our partners to identify the right improvement solutions, analysing them through our simulation models and optimisation techniques to make sure the right decision, right planning and right technology are down-selected and verified.

Our key capabilities include:

  • Discrete Event Simulation (DES)– we have proven expertise to model manufacturing facilities or business processes to evaluate system performance, optimise resources and perform what-if scenario testing. These models can run along physical systems in real time to achieve predictive analyses.
  • System Dynamics – we apply system dynamics techniques to model complex systems, understanding nonlinear system behaviour over time.
  • Cost Analysis and Prediction– we apply a model-based approach to perform cost estimation and cost assessment to support decision making in both early stages of design and during manufacturing.
  • Trade Study Analysis – we have developed a trade study matrix which provides a systematic way to evaluate potential solutions by capturing expert knowledge against a range of specified requirements.


DES/Cost Analysis

  • Copernico EU FP7we worked with the project consortiums to develop a framework to support SMEs to easily access simulation and modelling techniques, supporting their decision making processes at operational level.
  • Rolls-Royce SAMULET II & F1E Shaft - applied process flow modelling and cost modelling to support decision making and evaluate improvement impacts.
  • The Proving Factory – applied discrete event simulation and optimisation modelling to support flexible manufacturing and reconfigurable facilities concept.
  • Spirit Aerospace – applied discrete event simulation to evaluate impacts of implementing process automation.
  • Boeing – applied discrete event simulation and cost modelling to evaluate improvement impacts for a number of specific projects.
  • Rolls-Royce Trent XWB – cost evaluation to support the identification of manufacturing methods.

Trade Studies

  • Rolls-Royce – applied the trade study matrix to identify best potential technology in ring commodity.
  • BAE - applied trade study to evaluate alternative technologies for drilling processes.
  • Ricardo – applied trade study to support the selection of light weight gear manufacturing methods.

For more information, please contact

Dr Ruby Hughes CEng MIMechE - Technical Fellow

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