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JMPer Cable

A technical blog for JMP users of all levels, full of how-to's, tips and tricks, and detailed information on JMP features
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Praveena
Staff
Introducing the process screening web feature: Streamlined analysis and interactive insights

Publishing a process screening analysis from JMP to JMP Live just got even more powerful with the new process screening web feature. This enhancement delivers a user-friendly, tabbed report layout, making it easier than ever to navigate and interpret your process data.

Organized, tabbed layout for effortless navigation

The new report format organizes your analysis into clearly defined tabs. Each tab serves as a dedicated section for different graphical representations and charts, allowing users to quickly access the visualizations most relevant to their needs. As you add more visualizations, they’re seamlessly integrated into additional tabs, keeping your workspace tidy and intuitive.

 

(view in My Videos)


Interactive control charts for deeper insights

A standout feature is the ability to visualize control charts associated with each process directly from the summary table. Simply select a process, and its control chart appears – no extra steps required. Need to compare multiple processes? Select as many rows as you like in the summary table to view all relevant control charts side by side in the panel, enabling comprehensive, simultaneous analysis.

These control charts are fully interactive. Hover over any data point to instantly reveal detailed information, making it easy to investigate anomalies or trends at a granular level.

(view in My Videos)


Synchronized interactivity across tabs

Interactivity isn’t limited to individual charts. Any interaction, such as filtering or selecting data, automatically synchronizes across all tabs. This ensures your analysis remains consistent and up to date, regardless of the section you’re viewing, and provides a seamless and cohesive user experience.

(view in My Videos)


Introducing the count control chart

The new count control chart is perfect for analyzing frequency count data, such as the number of non-conformities in a unit. It is especially valuable in environmental monitoring, where counts might represent the presence of mold, bacteria, or other contaminants detected by sensors.

For this chart type, two key control limits are used:

  • Alert limits: Serve as early warnings when counts are elevated (typically set at the 0.975 quantile of the fitted distribution).
  • Action limits: Indicate when immediate remedial action is required (set at the 0.9985 quantile).

    Environmental MonitoringEnvironmental Monitoring







 

 

 









Visualizing alarm occurrences with alarm graphs

Alarm graphs provide a clear, visual representation of alarm events. Out-of-control alarms (exceeding action limits) are shown as filled circles, while other enabled alarms appear as open circles. Selecting these points helps you quickly identify the corresponding processes.

The vertical axis displays processes generating alarms, while the horizontal axis shows time or sample number. If multiple processes trigger alarms simultaneously, you can highlight these points to investigate potential common causes.

Marker types at a glance

  • Red circles: Out-of-control points exceeding control or action limits.
  • Black circles: “Alert increasing” situations, where the current point is higher than a previous alert.
  • Small gray markers: Other active alarms or tests.

    Environmental Monitoring Alarm Graph.png























    The process screening web feature brings clarity, interactivity, and efficiency to your process analysis workflow. Explore these new capabilities in JMP Live and elevate your data-driven decision making.

    Sample reports available on JMP Public

    Process Screening reports with goal plot, process performance Graph

    https://public.jmp.com/packages/Zq0CBs7nGBs_Grht2Zktz

    Process screening reports with alarm graph

    https://public.jmp.com/packages/bLcM99Ch6ylM8JnlfS4n7

Last Modified: Feb 27, 2026 11:19 AM