New in JMP 18 and JMP Pro 18
...lightly curved, and define a 2-dimensional space in which we claim the true linear regression line exists; that is, if we imagine that the observed linear regression line can rotate about the point t...
...lightly curved, and define a 2-dimensional space in which we claim the true linear regression line exists; that is, if we imagine that the observed linear regression line can rotate about the point t...
Statistical Thinking for Industrial Problem Solving (STIPS) is a free, online course available to anyone interested in building practical skills in using data to solve problems better. The ...
In theory, there's no difference between theory and practice, but in practice, there is. Variability intervenes in the real world; accommodating this intentionally is part of a robust operation. Proc...
...uration: 10.5 hours of content. Modalities: live online with instructor -- This course is available periodically (but infrequently) in our public course schedule. The public courses a...
We’re excited to bring you this free e-learning course on Statistical Process Control. The course includes many topics, some for beginners new to SPC, and some for more advanced SPC practitioners. Yo...
...pk indices are constructed using within-subgroup or between-and-within-subgroup estimates of sigma. In this way, they attempt to reflect the true process standard deviation. When a process is n...
See how to: Define MSA - An experiment designed to measure measurement system limitations to determine if measurement system is good enough to use or needs improvement Understand d...
...elect Diameter as Y, Response, Part as Part, Sample ID and Inspector as X, Grouping. This runs the Evaluate Measurement Process (or Wheeler’s EMP) measurement system analysis. A...
See how to compare and contrast situational usefulness of two methods for looking at lots of process variables at the same time: Model Driven Multivariate Control Charts (MDMCC) and Process Screening...
Presenter: @Florian_Vogt Erfahren Sie, wie Sie die interaktiven JMP-Funktionen zur Qualitäts- und statistischen Prozesskontrolle einsetzen können, um routinemäßige (gängige Ursa...
Presnter: @flo_kussener Découvrez comment exploiter les excellentes fonctions interactives de JMP en termes de qualité et de MSP (maîtrise statistique des procédés) en vue d'ide...
Presenter: @MassimoMartucci Scopri come sfruttare le funzionalità interattive di JMP e il controllo dei processi statistici (SPC) per identificare variazioni dei processi di rou...
Presenter: @Stuart_Little See how to deploy JMP’s interactive quality and SPC capabilities to identify routine (common-cause) and abnormal (special-cause) process varia...
Beginning with JMP 16, Control Chart email notifications, paired with JMP Live reports, let you monitor production, triage issues and share status and actionable details wi...
See how to: Understand how control charts to identify special causes of variation. Build charts using Control Chart Builder Save Control Charts to PowerPoint S...
See how to: Deploy interactive quality and SPC capabilities to identify routine (common-cause) and abnormal (special-cause) process variation over time Determine if a process is stable ...
See how to: Reduce spatial defect data to a few key clusters Correlate clusters and isolated defects to the manufacturing process in order to give direction for process improvemen...
See how to: Screen multiple processes over time Examine one process at a time using Control Chart Builder Examine and compare multiple processes using Process Screening ...
...rocess shifts Resources Blog with instructions for 3 capabilities added to Process Screening in JMP 16 (single-launch XBar and IMR charts; ability to color and select out of s...
Pareto charts or Pareto plots are basically a ranked order histogram that will most likely include cumulative percentage line. I’ll demo this in JMP using the Failure sample data set. ...
A control chart is a graphical and analytic tool for monitoring process variation. We can use Control Chart Builder to create control charts of your process data. Here, I have the...
...tatistical Thinking for Industrial Problem Solving: Quality Methods module Learning from my mistakes -- Part 4: Are your measurements to be believed? blog by JMP Systems E...
... Then enter Measured Value as the Y, Response, Inspector as the X, Grouping variable, and Part Number as the Part, Sample ID. Then, we enter Standard as the Standard. To a...
...nalysis platform from the Analyze menu under Quality and Process, and change MSA Method to Gauge R&R. Diameter is the Y, Response, Inspector is the X, Grouping variable, and Part is the Part, S...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving To design a measurement system study in JMP, we’ll use a script called Gauge Study Desig...
...emiconductor Capability data, found in the Sample Data library. This table has 128 process variables grouped together in the columns panel. Each variable has the spec limits saved as a c...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we show how to compute capability indices for nonnormal data using the Im...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we show how to compute capability indices for the Metal Parts example usi...
...enu on a Mac). Then, in the Platforms grouping, we select Distribution. In the list of options we deselect Ppk Capability Labeling to turn off the labeling, or we select this option to turn the labeling o...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we show how to add a phase variable to an X-bar and R chart using the Con...
Learn more in our free online course: Statistical Thinking for Industrial Problem Solving In this video, we show how to create a 3-way control chart for the Vial Fill We...