I am trying to optimize the processing of a product which is experiencing about 10% scrap rate launching the product into production. I ran a process DOE w/4 factors at 3 levels and collected data on 9 trials. The defect rating response was set to an ordinal variable and fitted a model by logistic regression. I also collected data on the hardness of this product which is also affected by the process variables and have to meet a physical target. The hardness data is a continuous variable and it was fit to a standard least squares model. These two models exist in different JMP windows. I can optimize both models independently, but I don't know how to optimize the two models simultaneously. I figure this is easy to do in JMP13, but I'm kinda new to JMP modeling and unfortunately I'm not seeing an obvious way for simultaneous optimization. Please help.
... View more