![]() Power is no longer a useful metric to compare designs, and analyzing results is far more challenging. ![]() Sometimes also considering unconstrained process factors, these experiments require modifications of the typical design and analysis methods. Whether measured as a proportion of total volume or as a molar ratio, increasing the amount of one factor necessarily leads to a decrease in the total amount of the other factors. In mixture experiments, the factors are constrained to sum to a constant. This dashboard became our daily driver to quickly find faults/process drifts and achieve high yield standards. The dashboard’s correlation coefficient matrix between inputs and outputs compares the correlation before and after a detected changepoint. Multiple changepoints are handled using phase columns and correlations with input parameters, template changeovers, and PM or hardware upgrade activities. Our team used changepoint detection and correlation matrix to create an interactive dashboard that collects changepoint time stamps for output parameters and creates a phase in the existing control charts for input parameters. These process drifts are often subtle, gradual and interdependent on other parameters that traditional control charts fail to detect. Process drifts such as robot wafer placement errors, wafer alignment variation, master-template alignment errors, and measurement metrology variability can cause excursions that result in significant yield loss. Magic Leap’s lithography double-side imprinting process requires precise wafer placement, highly accurate photoresist dispension, and master-template to wafer alignment. This paper presents how Magic Leap’s Eyepiece Manufacturing team leverages the changepoint detection and correlation matrix functions in the multivariate control charts to easily detect process drift, diagnose issues, and detect the exact moment when an issue occurred - a previously impossible functionality. Short tutorial videos for JMP presented by Julian Parris. Success! Display Box Graph Builder JSL Marker Size Post navigation If I try and send the message and get an error then I will set a variable to indicate that I no longer have a frame box” “While I have a frame box I will try and send the marker size message. This is how it is written in JSL: haveFrameBox = 1 Basically I am going to say the following to JMP: “try and do this, if you can’t then I guess I have come to the end of all the frame boxes”. We’re allowed to perform invalid tasks in a script so long as we anticipate that an error can occur, which we do by using a “try block”. At some point I will send the message to a frame box that doesn’t exist. ![]() I send the marker size message to the first frame box, then the second, and so on. So now I need to calculate the number of distinct levels of my classification variable (age in this example) – or do I? The number of frame boxes is data dependent. up to the maximum number of tiles of the trellis plot. I need to apply the marker size individually to each frame box. Well I got exactly what I requested, but it’s not what I want. I’ve highlighted the important line where the marker size message is sent to the frame box. Variables( X(:height), Y(:weight), Wrap(:age )), Let’s try it: dt = Open( "$SAMPLE_DATA/big class.jmp" ) So for example, if I want to increase the marker size then I send a message to the frame box. This is a display box that has properties associated with the graphical elements. In scripting terminology each “tile” of the trellis plot is a frame box. After all, isn’t that the point of scripting? These are great until we want to exercise greater control on them through our scripts. Often I want to utilise the “wrap” property to create trellis plots: But sometimes the graph builder gives me capabilities that I don’t have in other platforms. If I need a scatter plot I will script an overlay plot. The graph builder allows me to rapidly evaluate different graphical representations.īut when I am scripting that flexibility of the platform becomes a nightmare! To be honest, most times I will not use the graph builder for scripting. I use it a lot when I’m not so familiar with a set of data, and I’m not quite sure how I want to plot the data. If you want to interactively build graphs in JMP then the graph builder platform is great.
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