It is required to know the important factors to consider, when designing response surfaces. Examples of response surface designs with levels of fertilization in wheat. Software for this type of designs.
A good way to determine the most important factors for any design is to carry out a good literature review. Next, you can identify the broad range of variables that generally influence the process, followed by screening. The process of screening in a preliminary process of determining the most suitable 3-5 parameters which can be included in your experimental design (DoE).
Once this is out of way, you can use one of many DoE software such as Design Expert, Statistica, or MiniTab to carry out the design and conduct the actual experiments. The resulting data can then be re-introduced into the spreadsheets of the DoE software to determine the response surfaces (3D or contuors).
Usually, the results of ANOVA analysis, which follows the surface plot process will give insights into the best plots which can be characterized by low p values (