Digital services

Predictive analytics for die casting

This cloud-based, artificial intelligence-supported die-casting solution helps you reduce unscheduled downtime through plannable maintenance.

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Digital services

Predictive analytics for die casting

This cloud-based, artificial intelligence-supported die-casting solution helps you reduce unscheduled downtime through plannable maintenance.

What is predictive analytics and how does it help?

Less downtime, more productivity

Scheduling maintenance based on your actual machine performance

With predictive analytics, sensors collect data in real time. Our digital service then uses algorithms to predict potential failures based on actual performance, helping you plan maintenance and increase machine availability.

Facts about predictive analytics

Up to 80 %
Reduction in unplanned machine downtimes
24/7
Access for analytics results

Production stops can typically take up to 30 hours to restore. Predictive analytics helps avoid these interruptions and keeps you up and running.

Our algorithms compare data from the sensors with results from other anonymized industry data so potential failures can be notified before they occur.

Your benefits

Protecting your productivity

Avoid up to 80 % of unexpected machine downtimes

Rule-based maintenance across core components of your die-casting machine turns unforeseeable stoppage into plannable actions, giving you more production reliability.

Broad experience

Bühler has more than 90 years of experience in die-casting processes, and we are ready to share our broad experience with you.

Consistent performance

Well-maintained machines provide consistent production capability.

How it works

Data from your steady valve, injection cylinder, accumulator, pressure multiplier and more are collected from sensors in your machine and control unit.

Your data is firstly anonymized for confidentiality. Then it is transferred to the data processing engine. The whole process is encrypted and fully protected.

Predictive analytics identifies patterns in the data sets and detects anomalies. Using our deep process know-how, we benchmark your machine with industry performance to identify areas of concern.

Using anonymized data across users, we gain insights from data patterns. Continuous algorithm learning allows us to cover more analytic targets and improve predictive performance over time. 

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How can we help?


Gupfenstrasse 5
Uzwil
9240
Switzerland