Amid rising energy prices and net-zero policymaking, manufacturers face a significant challenge: how to balance decarbonisation with profitability. After all, environmental drivers are just one element in a complex operating environment that encompasses rising costs of labour, materials and transport.
It’s no secret that manufacturers must invest in technology to help cut resource consumption, reduce waste and tap into renewable energy. According to a recent survey from manufacturing association Make UK, 23% of companies have already invested in digital technologies to help decarbonise, and 24% plan to do so.
But what technologies should you invest in? What results will you get – in terms of sustainability and ROI? And what will be the investments’ operational impact?
You need clarity on questions like these to get the right results – in terms of sustainability and profitability.
That’s where predictive simulation comes in.
With predictive simulation, you have a virtual model – a digital twin – of your assets, operations and processes. That way, you can replicate real-life business problems and experiment with ‘what-if’ scenarios to find the best solution.
How does predictive simulation help with real-world sustainability applications?
It all starts with the questions you’re looking to answer.
Here are key questions at the nexus of sustainability and profitability – and predictive simulation can help answer them all:
Using predictive simulation, you can uncover detailed insights on the effects of process changes and investments in a virtual environment, so you can make evidence-based decisions in the real world.
This eliminates uncertainty around decarbonisation investments because you’re de-risking decision-making. Essentially, you have a streamlined way of driving sustainability without worrying about expensive surprises down the line.