QR_ for Mechanical & Materials in Australia.
QR_ supports clients optimise products in a design space that is often highly constrained, helping converge on the best compromise and satisfying frequently competing performance objectives.
Our expertise
Setting up new design processes
Objective: to define and improve design processes.
In the consulting phase, QR_ helps you define the processes, methods and tools that will enable you to design your products.
This work takes a variety of forms, including helping to define technical approaches, supporting the development of new methods, or creating and optimising design tools.
The QR_ teams can also help you through these changes by providing training and operational support for these new methods and tools.
Conceptualising future products
Objective: to innovate and define the products of tomorrow.
During the concept and architecture phases, QR_ supports you in defining your products and helps you meet the challenges of your sector.
Whether it's decarbonising aviation, designing factories or defining satellite constellations, QR_ has the expertise to guide you through your projects.
Developing today's products
Objective: to design products for cutting-edge industries down to the last detail.
QR_ can support in the development and design of your products, both through our Engineering Services (design, drafting, etc.) and PDM offerings.
Product optimisation
Objective: to improve existing products to optimise their performance.
During the production life cycle, QR_ supports you in optimising your existing products: improving production costs and speed, maintainability or ecological sustainability.
The QR_ teams have knowledge of the entire life cycle of products, from their design to their manufacture and use in service. For these optimisation phases, QR_ is able to deploy 'design to value' methods and multiphysics approaches in order to define the best multi-criteria optimisation compromise.
The hidden factory, in two parts.
Engineering teams lose up to 30% of their hours to non-productive data work: searching, validating, recreating information that should already be trusted. That's the hidden factory: a silent drain on margin, launch confidence, and innovation capacity. Done right, data quality becomes a financial lever rather than an overhead. Here's the case, and the playbook.
Reach out to start a conversation
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