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.

Projects

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.
  • TRANSCEND – TRANsmission Supply Chain Excellence for Next generation Dual clutch technologies – our team supports the project consortiums in the area of process simulation and to apply sensitivity analyses for supporting the research in the area of scalable facility.
  • Connected Everything (EPSRC funded feasibility study) – Pathway to Autonomy for an SME factory
  • McLaren Automotive (Sheffield) – we developed simulation model to aid their decision making process in factory process design.
  • Boeing (Sheffield) – we are working with Boeing team from Sheffield to develop simulation models to aid their decision making processes in planning their new facility.

Trade Studies / Cost Analysis

The team has developed best practice process in conducing trade study analyses to support AMRC partners for evaluating potential solutions/advanced technologies in various manufacturing areas.  

Recently completed/On-going projects:

  • 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.
  • GKN – “Rib of the Future” programme – in Machining, Composites and Castings areas.
  • Boeing - Evaluation of the feasibility for a composite-to-metal bonding solution and analysis of the costs to produce this aerospace component.

For more information, please contact

Dr Ruby Hughes CEng MIMechE - Technical Fellow (Head of Manufacturing Intelligence)
r.hughes@amrc.co.uk

Marco Franchino – Project Engineer (Trade Studies/Cost Modelling)
m.franchino@sheffield.ac.uk

Shaun Finneran – Simulation Engineer
s.finneran@sheffield.ac.uk

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