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The first is the brightness, promise, and capability being brought by the young that will blossom into the world.

Over the years, we’ve come to recognise a wide variety of client drivers, including cost, time, net present value, capital and funding decisions.For some clients, accuracy in delivery is the most important thing.

Scale fail: when modelling is crucial (and surprising) | The Dyson Blog

For others, such as the UK’s busiest airport, Heathrow, the biggest benefit arises from having the fewest number of people on site and the fastest possible delivery.What this means is that ultimately there are many different forms of P-DfMA which are appropriate.. With Platform construction (P-DfMA), we’ve attempted to take everything we’ve learned in our client work and embed it in a set of components that clients and the industry more generally can benefit from.We’re focusing on the least amount of material, the lowest carbon materials, the highest levels of productivity.

Scale fail: when modelling is crucial (and surprising) | The Dyson Blog

These are the driving principles of P-DfMA and industrialised construction more generally..Automation in construction.

Scale fail: when modelling is crucial (and surprising) | The Dyson Blog

In terms of maximising value, we must also address the reality that at present, the majority of an architect or designer’s time is spent documenting ideas, whereas in actuality, it is the creation of the idea in the first place which is the most value-adding element.

One benefit of standardising components and adopting a P-DfMA approach is that we can document the rules around those components.We are able to consider a variety of architectural and environmental factors: energy balance, people movements, overshadowing, architectural aesthetics, and placemaking.

This gives us much better, and much more considered, designs at site level.. Additionally, our work on REM teaches us that if the algorithm creates an unusual outcome, the solution is to fix the ruleset, not the algorithmic model.Over time, this creates vastly improved results, as the rules and algorithmic designs get better and better.

These results have allowed us to visualise and assess both the risks and opportunities of a smart motorway at the earliest planning stages.Consequently, it now takes a few days to do what used to take months..