**4. Selection of experimental design**

The quantity of resources available and the degree of control desired by the experimenter over making poor decisions (i.e., Type I and Type II errors for testing hypotheses) determine which design is chosen among the numerous sorts of alternatives. For the objective of a more straightforward screening of many experimental factors, low-resolution designs like FFDs, Plackett Burman designs (PBDs), or Taguchi designs are sufficient. Only linear replies are supported by screening designs. Therefore, a more complicated design type is required if a nonlinear response is observed or if a more precise depiction of the response surface is needed. Therefore, response surface designs that can detect curvatures are used when the investigator is interested in estimating interaction and even quadratic effects or intends to have an idea of the local shape of the response surface [20]. In a nutshell, the important factors to take into account when choosing an experimental design are as follows:


**Figure 3.**

*Classification of Design of Experiments techniques.*

**Figure 4.**

*Advantages of Design of Experimentation techniques.*

