Hi @Rachana1,
Welcome in the Community !
May I suggest you take a look at similar post and responses here : https://community.jmp.com/t5/Discussions/force-levels-in-DoE/m-p/751878#M93311
As suggested by @Jonas_Rinne, you can specify your factors as discrete numeric with a specific number of levels to force the generation of the needed levels in your design (JMP automatically adds the necessary higher order terms in the model, and you can switch back the factors formats to continuous numeric later for the analysis for example), or keep the factors as numeric continuous and simply specify the higher order terms needed in the model to create equidistant levels in the design : up to 3rd order term (for example X1, X1.X1 and X1.X1.X1) in the model to have 4 equidistant levels in the design (for X1, coded as -1, -0.33, 0.33 and 1).
Hope this answer will help you,
Victor GUILLER
L'Oréal Data & Analytics
"It is not unusual for a well-designed experiment to analyze itself" (Box, Hunter and Hunter)