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One of the big benefits of a Manufacturing Execution System (MES) is the manufacturing data the system makes available for analysis and reporting purposes. FactoryLogix Analytics has powerful data visualization capabilities including real-time dashboards, reports, charts, and analytics to help you build the data outputs you need in an intuitive, graphical manner. Data manipulation features allow you to sort, group, and filter manufacturing data so you can create any combination of data sets for your specific reporting needs.
Real-time dashboards
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Build dashboards quickly by dragging and dropping active elements onto a design space. Select the line, machine, or station from which the element should receive its data, and the dashboard is populated with that data automatically. You can also link dashboard elements to create an interlinked set of real-time views. Dashboards can include data elements such as quality, performance, machine, materials, OEE, alarms, WIP, and predictive job management details.
Historical data mining
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When you finish data retrieval and analysis, you can save your settings as a template to use again and share the template with other users and groups for their use.
Report designer
The report designer lets you create HTML or PDF reports for historical reporting and analysis. The DataMiner environment lets you retrieve report data without needing IT or coding skills.
Scheduled reporting
FactoryLogix has a report scheduler that lets you quickly develop, schedule, and auto-generate reports and charts, then deliver them by email to other users and groups. Runtime variables automate the reporting process and remove the need for user interaction.
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Most often alarms are automated emails. These emails may be simple text emails with Smart Text entries that build context-sensitive notifications. The system also lets you attach auto-generated reports to send out with alarm emails.
SPC reporting
You can augment historical data mining with optional Statistical Process Control (SPC) output, including pre-configured layouts and detail. Produce quality-related p and µ charts and measurement-related histograms without extensive setup or manipulation. You can also analyze pareto charts with cumulative percentage detail to identify the significance of the highest contributors.