I agree with @Dan_Obermiller . The factors do not seem to have much effect on the response over the ranges that you have used. As a chemist, the temperature range does seem very narrow - intuitively I would not expect to see a big change in the response if I change the temperature from 175 to 182 degrees.
This might be a good thing, if this is a robustness study. The results here tell you that you could vary the factors over these ranges and get a consistent response.
But it sounds more like this was an optimisation study. In which case you will have to experiment more boldly to obtain a useful model. You could use Augment Design in the DOE menu to add runs from an expanded factor range.
An option is that you could include the data from your screening design. The combined data set will probably not be balanced but I expect it will include data from a wider factor space and might enable you to build a more useful model.
I have attached you data as a JMP data table.
I hope this all helps.
Phil