SAS
THE ENERGY OPTIMISATION JOURNEY
For any transformation , it is essential to get buy-in from the C-suite to the factory floor . That is a challenge in itself .
A lot depends on the maturity of the manufacturer and willingness to trust in the data and AI solution . While the concept of AI has been with us for some time , it has recently entered the public consciousness as a perceived threat to jobs and livelihoods . This needs to be tackled , and AI embraced as a business tool that improves efficiency , profitability and , therefore , economic sustainability and viability . Allowing engineers to experiment with the technology will help to build trust and deliver long-term benefits . Engineers may be sceptical of tweaks and solutions being suggested by the algorithms at first , but the data seldom lies .
Building this trust is essential to a successful and efficient adoption . By combining a deep understanding of multiple variables , AI can simply find solutions that humans may fail to identify and improve through no fault of their own .
Manufacturing is complex , especially when it comes to variability in combustion processes that are energy-heavy .
62 October 2023