Identify degrading process performance due to worn tooling equipment before it causes disruptions to production
FactoryTalk® DataMosaix™
Earlier detection of a worn item of up to 30-60 days Fail rate improved by up to 22% $45K savings in labor reduction $9M revenue was realized sooner What’s the upside to having a flat tire? Typically, you’re alerted to the problem immediately. A warning light appears on your dashboard, or you feel a difference when you drive. You patch or replace the tire and continue driving without issue. The problem remains isolated to the tire. That’s not the case with many manufacturing processes. Often, when a piece of tooling begins to wear, operators aren’t aware that intervention is needed until a lar
Key metric: up to 22%. Industry: Automotive.
Have a similar implementation?
Share your customer's AI results and link it to your vendor profile.
Submit a case study →