The AMRC Manufacturing Intelligence team has the capabilities and expertise to develop numerical and simulation models to support projects and research in operations/investments 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 Cost Savings 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 to understand the possible cost savings and justify investments.
- Trade Study Analysis for Decision Making – 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 and drivers, aiding decision making.
- Copernico EU FP7 – we 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.
- Sellafield - discrete event simulation and cost modelling has been applied to optimise the
manufacturing process before building the new facilities.
- AWE – discrete event simulation and cost modelling has been applied and are currently applied for different projects to aid optimising the manufacturing processes.
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 projects:
- Rolls-Royce – applied the trade study matrix for a series of projects including:
- 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.
- AWE – applied the trade study matrix for a series of project to select the best machine platform.
For more information, please contact:
Dr Cansu Kandemir – Team Lead Engineer
Mr Marco Franchino – Trade Studies/Cost Modelling Lead
Dr Jamie Smith - Simulation and Modelling Engineer
Dr Ezzaldeen Elzagzoug – Artificial Intelligence Engineer