Pringles has spent decades perfecting one of the world’s most iconic snacks. But behind that satisfying crunch lies a surprisingly complex manufacturing challenge — dough that behaves differently every single day, depending on raw material variations, humidity, and protein levels. For years, experienced operators relied on instinct and process knowledge to keep production on track. When the line underperformed, pinpointing the exact cause was rarely straightforward.
That changed when Pringles partnered with Siemens and introduced a Digital Twin of the dough, a virtual model fed by real-time sensor data that uses models and simulations to recommend recipe and process adjustments. Operators receive data-driven recommendations to support process decisions, helping keep the line running with fewer stoppages and less waste.
But the transformation did not stop at dough. SIMATIC Energy Manager Pro now runs simulations to predict the next day’s energy consumption targets, addressing an important operational cost area. Meanwhile, Senseye Predictive Maintenance monitors equipment health through vibration sensors, replacing reactive fixes with intelligent, condition-based interventions.
Backed by the Siemens Xcelerator portfolio, Pringles aims to connect manufacturing, R&D, and engineering through a unified Digital Thread — turning what was once the art of making chips firmly into the science of it.
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