With the government’s renewed focus on upgrading national infrastructure, clean energy providers must ensure their supply chains and processes are fully optimised ahead of any increased demand.
When it comes to new product innovation (NPI), there’s no such thing as a one-size-fits-all approach and engineers often find that juggling different priorities leads to costly, late-stage design changes.
Should Cost modelling can accelerate cost savings, closing the cost gap that often exists between the business environment of months or even years ago, compared to that of today.
Should Cost modelling is a crucial practice in many industries. However, the key to successful Should Cost modelling is the availability and accuracy of good data.
In this blog we delve into why employing DfX methodology is not just beneficial but critical for optimising costs during new product development projects.
In today’s business environment, effective cost management is critical for sustaining profitability and competitiveness. We discuss some best practice approaches that can be taken to manage product costs.
We explain how analysing and challenging Could Cost and Should Cost elements using fact-based models, value engineering and benchmarking can help achieve Best Cost.
As climate targets approach manufacturers could be doing more to tackle Scope 2 emissions – resulting from the generation of purchased energy – and Scope 3 emissions – produced throughout the whole value chain.
With technology, including Artificial Intelligence (AI), advancing at a faster pace than ever before, businesses must have strategies in place to utilise it effectively or risk falling behind.