Predictive maintenance
AndonCloud SmartPDM is a tool that predicts failures based on data history - supporting operator autonomy and machine continuity.
Recommendation to set the next machine status
The system analyzes the machine's operating context and recommends the most likely failure status to the operator. This speeds up response, reduces notification errors and supports autonomous fault management at the bench level.
Status prompts based on history
The system analyzes previous sequences and proposes 5 statuses that most often occurred in similar cases.
Faster failure reporting through selection
Instead of searching through up to 200 possible statuses, the operator sees only the most relevant suggestions - saving time and avoiding mistakes.
Support for autonomous maintenance
The system's suggestions confirm the operator's guesses - the operator can make his own decision to act, without having to call a service technician.
Failure prediction based on action sequence history
The system analyzes the sequence history of operators and machines, identifying patterns leading to failures. It enables failure prediction and response before production stops, supporting process continuity.
Combining signals from machines and operators' actions
The system collates sensor data with information from the shop floor - allowing a better understanding of the context and faster detection of threats.
Patterns leading to production stoppage
Based on previous failures, the system recognizes sequences of events that usually end in an outage - and warns in advance.
Information for UR department and integration with CMMS
When the system detects a risk of failure, it notifies the operator and the UR department. It is also possible to generate a service order.
System
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Documentation
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Customer support
Get help by contacting our technical support team by phone or email.Monday - Friday; 9:00 - 17:00support@andoncloud.comMonday - Friday; 9:00 - 17:00+48 71 340 70 32
Integrations
Integrate with over 5,227 third-party apps and tools.
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FAQ
Frequently asked questions
Why does the system prompt for failure status?
To save you time. Instead of sifting through over 200 options, you get the 5 best suited to your situationDo I need to use the system's recommendations?
No. This is just a suggestion. The final choice is always yours - the system supports you, but does not replace you.How does the system know what to suggest?
Based on previous cases. Analyzes failure history and proposes the most likely scenarios.What if the system is wrong?
Recommendations may not be perfect, but they are based on data. If they don't fit - you choose another option. You decide.Does it help you respond faster?
Definitely. Status selection takes a few seconds instead of dozens - and every second can make a difference in production.How does the system predict failures?
Based on the sequence of actions that preceded previous outages. If it sees a similar pattern - it warns.Do you need to install sensors to make it work?
No. The system uses the data you already have - from machines, operator reports and statuses. No additional hardware.Does the prediction work as soon as it is implemented?
Not right away - it needs about 10,000 records to learn the patterns. But the more data, the better it gets.What happens when the system predicts a failure?
It informs the operator and the UR department. You can also automatically send an order to the CMMS or schedule an intervention.Is it possible to teach a system based on mistakes?
Yes. If the prediction was wrong, it can be flagged - the system learns from it and improves its actions.
Predictive maintenance in AndonCloud is a feature that realistically reduces downtime and improves production flow. By analyzing the history of statuses, the system can predict when a failure might occur - before a real machine stoppage occurs. It works without the need to install additional sensors - it relies on what is already available in the system: operators' actions, machine data, failure reports.
It helps operators first - instead of searching through up to 200 possible statuses, the user gets the 5 most relevant suggestions. This greatly speeds up the response, especially in case of recurring problems. The system also supports autonomous decisions - if the operator's diagnosis agrees with the suggestion, he can act without waiting for service. For maintenance, this saves time and restores continuity faster.
The module also analyzes sequences of events - it learns what preceded failures and warns before the situation recurs. If the risk occurs, the system notifies the UR department and the operator, giving the possibility to generate an order in the CMMS. It's a smart approach to failure prediction - based on real data from the shop floor, not just sensor signals.
It helps operators first - instead of searching through up to 200 possible statuses, the user gets the 5 most relevant suggestions. This greatly speeds up the response, especially in case of recurring problems. The system also supports autonomous decisions - if the operator's diagnosis agrees with the suggestion, he can act without waiting for service. For maintenance, this saves time and restores continuity faster.
The module also analyzes sequences of events - it learns what preceded failures and warns before the situation recurs. If the risk occurs, the system notifies the UR department and the operator, giving the possibility to generate an order in the CMMS. It's a smart approach to failure prediction - based on real data from the shop floor, not just sensor signals.
Contact
Contact us
If you have any questions, talk to our expert
We will respond within the next business day
sales@andoncloud.comPhone
Monday - Friday; 9:00 - 17:00
+48 71 340 70 15Make an appointment
Marcin Wierzbicki
During the meeting, we will present the product and help you configure the system in your company efficiently and quickly. Our team is at your disposal.
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