AI & AUTOMATION
Big
data analytics for manufacturing - Samsung Nexplant Analytics
“ The combination of AI and data provides acceleration of digitisation through analytics-based solutions ”
COBUS VAN HEERDEN SENIOR DIGITAL PRODUCT MANAGER , GE DIGITAL
MP : Digitisation is forcing manufacturers to reimagine their supply chains . As an example , most companies use internal data to track demand-supply balances and it is challenging for them to foresee external events impacting their supply chains . Using AI techniques that understand unstructured external data sets , such as social media and other data on events , manufacturers can plan for supply chain disruptions much sooner .
In addition , manufacturers can use AI and Big Data to build digital replicas of their manufacturing operations and tap into transformative possibilities of reducing cycle time in production , adding manufacturing capacity and predicting unplanned maintenance activities etc .
PL : Some of the poster child statistics for AI and Big Data simply demand attention . Recently , Siemens automated one of its factories in Germany , with 75 % of the processes digitised or having increased automation . Productivity improved by
58 June 2021