i am working on textile dyes' degradation for which i have to optimize different process parameters (atleast 8 factors). I have reviewed the literature and found both of these designs in different papers but mostly central composite design is used.
Can anyone plz suggest me which one of these is the best and do i also need to carry out the single factor experiments as its reported that more than 4-5 factors cannot be studied using these designs?
Placket-Burman is not suitable for optimization. The purpose of using Placket-Burman is to determine the most significant factors (Screen design). In general, Placket-Burman is not recommended because interactions are partially confounded or "aliased" with main effects. Composite design is mainly used for optimization purposes with no confounding. Since you have 8 factors, CCD requires around 282 runs (Full design) which is very expensive and time consuming. Therefore, I recommend you to use first Placket-Burman to find few critical factors for the output responses, and then use CCD to optimize these critical factors. Please do NOT use face centered cubic design which is one of response surface designs because this method has multicollinearity if the problem has more than 5 factors.
No problem Noshaba. If you need any help please send me a message. Good luck with your experiment.
PBD is good alternative but you have to use foldover design. Then you can go with CCD.
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