Open

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.

Open

Real-time dashboards

FactoryLogix real-time dashboards can run in slide show mode above lines on flat panel screens. You can set up dashboards to cycle automatically using specified timing—without increasing server load, even as the number of dashboards increases.

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

No coding is necessary. With the Analytics client application, you can retrieve, filter, sort, group, and export data from FactoryLogix graphically—without needing SQL, scripting, or IT knowledge.

Data can be analyzed in grouped grid form, pivot tables, interactive drill down charts, and formal reports, all of which are easy to set up. Information is presented in an intuitive way, making it valuable in both production and quality meetings where people need to collaborate  to analyze data.

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.

Traceability

Traceability includes materials content records, product genealogy, the manufacturing route, the operators and machines and times a unit passed through, test results, parametric data, quality data, rework and replaced component history, machine data, recipes, packaging records, tooling used, and even the people who approved the release of the production order to the floor. All this data is available in comprehensive trace reports and serves as a unit’s device history record.

Traceability data is also available via an interactive forward and reverse lookup environment on the web. You input a material lot number and find all affected units to contain a recall. When you input a serial number, you can find out everything about that unit—this is an incredibly fast and easy way to solve traceability challenges.

Alarms and notifications

You can connect system events such as anticipated material shortages, tooling usage, and out of control quality conditions to alarms in FactoryLogix Analytics. The reactions to these alarms may take the form of line stoppages (including through inForce), logged events, and even SQL events.

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.