AndonCloud

FAQ

Frequently asked questions

• How does Smart Status AI work?

  The system analyzes the previous statuses and the current context of the workstation. Based on this, it suggests the most likely next statuses to the operator.

• Does the operator have to choose from a full list of statuses?

  No - he receives a short list of suggestions automatically generated from the hall data.

• What data does the predictive algorithm take into account?

  Event history, production context and operators' manual choices on previous requests.

• Can prediction be wrong?

  Yes - the system prompts based on previous manual decisions of operators. You can always select a different status manually.

• Does this feature require additional implementation?

   No - it is part of the system and activated according to the configuration of the account or position.

• What is the difference between a failure and a planned outage in the system?

  The type of event is assigned to the status - failure, planned or unplanned interruption.

• Who determines the classification of statuses?

  The system administrator defines the types for each status in the configuration.

• Why is it important to correctly classify outages?

  It avoids misrepresentations in reports and better assesses the effectiveness of teams.

• Is it possible to change the type of event after time?

  No - the type is recorded at the time of notification, which ensures the reliability of the data.

• How does this affect MTTR and uptime calculations?

  Correct classification allows better analysis of repair time and machine availability.

• How is the breakdown data presented?

  In the form of colorful statuses, charts on the dashboard and email/SMS alerts.

• Can the operator see the status of the failure in real time?

  Yes - the colors on the station screen show the current status of the device.

• Can I compare failure data with production?

  Yes - you can juxtapose the statuses with the planned performance and check the impact of the failure.

• What tools are used to visualize data?

  Dashboards, status timelines and trend chart widgets.

• Does the system detect abnormal patterns?

  Yes - trend and deviation analysis makes it possible to detect anomalies in the operation of the line.

• Does the UR have access to the failure history?

  Yes - all events are recorded with date, source and user.

• Can repetitive defects be analyzed?

  Yes - the system allows an overview of failures by type, source, machine or day of the week.

• What tools help with root cause analysis?

  Pareto report, full status classification, tags and the ability to assign actions.

• Can comments and notes be added to the breakdown?

  Yes - you can add a description, actions or findings to each event.

• Can UR filter data by shift or machine?

  Yes - the history is filterable by date, position, source and type of problem.