Predictive maintenance
Predictive maintenance is a forward-thinking strategy that leverages data and analytics to anticipate equipment failures before they occur, maximizing operational efficiency. By continuously monitoring and analyzing equipment performance, this proactive approach detects subtle signs of potential issues, allowing for timely intervention and preventing costly breakdowns. Employing sensors, IoT devices, and machine learning algorithms, predictive maintenance transforms maintenance practices from reactive to predictive.
This method not only minimizes downtime but also extends the lifespan of critical assets.
Environmental impact
We have set short and long-term goals in this domain, and will focus on energy conservation and emissions reduction, waste management improvement, water conservation and sustainable supply chain. We will fully record and calculate the carbon and greenhouse gas emissions from our operations using our internal resources (Akila digital twin platform) to set a clear baseline and track progress on the Scientific Carbon Emission Targets (SBTi).
Environmental impact
We have set short and long-term goals in this domain, and will focus on energy conservation and emissions reduction, waste management improvement, water conservation and sustainable supply chain. We will fully record and calculate the carbon and greenhouse gas emissions from our operations using our internal resources (Akila digital twin platform) to set a clear baseline and track progress on the Scientific Carbon Emission Targets (SBTi).
Environmental impact
We have set short and long-term goals in this domain, and will focus on energy conservation and emissions reduction, waste management improvement, water conservation and sustainable supply chain. We will fully record and calculate the carbon and greenhouse gas emissions from our operations using our internal resources (Akila digital twin platform) to set a clear baseline and track progress on the Scientific Carbon Emission Targets (SBTi).