DATA & ANALYTICS
Collecting data to improve manufacturing AI and IIoT , used with connected machinery , can collect a vast amount of data as well as detect defects along the production line . On the condition the data is of high quality , ML can be applied for a number of use cases , including :
• Predicting whether a component requires maintenance
• Identifying root causes of quality issues
• Calculating where efficiencies in the production line can be gained .
Outlining use cases of this technology , Favilla said : “ Taking maintenance as an example , sensors can feed data into a predictive analytics model that can determine if a machine is likely to break down in the next few weeks . The AI model can then assess the possible root causes and severity of the breakdown and automatically arrange for it to be solved .”
Through intelligent maintenance optimisation , manufacturers can prioritise all repair requests along with the availability of
130 February 2022