How to look for optimal conditions with two responses : one to maximize and the second lower than USL

JMPdiscoverer — Sun, 11 Jun 2023 11:15:35 GMT

Hello,

In Monte Carlo simulations, how to set your desirability when you have 2 responses : Y1 to maximize and Y2 lower than USL.

The objective is to look for optimal conditions with low defect rate (<2%)

Thanks

Re: How to look for optimal conditions with two responses : one to maximize and the second lower than USL

Mark_Bailey — Tue, 29 Jun 2021 16:52:44 GMT

Each data column has a set of column properties. The Response Limits property defines the desirability. This definition can be entered with the response when designing the experiment, for example DOE > Custom Design. It can be defined in the Graph > Profiler and then saved as a column property. It can be directly added to the data column from the data table.

Each response may have its own response limits as necessary. The optimization of factor settings is the result of maximizing the joint desirability of all the responses. Each desirability can have a weight, Importance, when necessary. The desirability is unweighted by default. That is to say, all the responses are equally important to determining the optimal levels.

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How to look for optimal conditions with two responses : one to maximize and the second lower than USL

Re: How to look for optimal conditions with two responses : one to maximize and the second lower than USL