Plackett-Burman designs screening design

If nonlinear effects are expected the variables must be varied at more than two levels. A screening plan comparable to the Plackett Burman design but on three levels is that of Box and Behnken [I960]. 

B.S. Aswathan and VJ. Victor, Plackett-Burman design for effective screening of process variables, Indian Journal of Technology, 12 (1974) 367-369. 

Saturated Designs Plackett-Burman Designs. Use in Screening and Robustness Studies... 

Screening studies were made by Plackett-Burman designs to ascertain the main variables affecting the solvent extraction and then optimised using a central composite design... 

Active Screening Experiment Plackett-Burman Designs... 

Hamada and Wu (1992) and Chipman et al. (1997) discussed a simulated screening experiment using the 12-run Plackett-Burman design shown in Table 6. The 11 factors are labeled A-K and each has two levels coded as +1 and -1. The response was simulated from the true model... 

Screening. These types of experiments involve seeing which factors are important for the success of a process. An example may be the study of a chemical reaction, dependent on proportion of solvent, catalyst concentration, temperature, pH, stirring rate, etc. Typically 10 or more factors might be relevant. Which can be eliminated, and which should be studied in detail Approaches such as factorial or Plackett-Burman designs (Sections 2.3.1-2.3.3) are useful in this context. 

Problem 2.10 The Application of a Plackett-Burman Design to the Screening of Factors Influencing a Chemical Reaction... 

The Plackett-Burman designs are convenient for fitting linear screening models when the number of variables is large and when it is desirable to keep the number of necessary runs to a minimum. One disadvantage is that the confounding patterns... 

Ruggedness the capacity of an analytical method to remain unaffected and produce accurate data in spite of small but deliberately introduced changes in experimental conditions. Fractional factorial or Plackett Burman designs are frequently used to screen the impact of those changes. 

As the number of significant parameters identified in the first experimental design is high, a new Plackett-Burman design was chosen to screen the most significant parameters between the ten parameters identified before. 

We have already seen that had we wished to screen an 8th variable (the extruder grill diameter for example) we would have needed a Plackett-Burman design of 12 experiments. 

In the previous section we saw how factors at two levels may be screened using a Plackett-Burman design. In their paper (2), Plackett and Burman constructed experimental designs for factors at 2, 3, 5, and 7 levels. Such designs are termed symmetric, because all factors have the same number of levels. The designs may... 

ABSTRACT The strain with high endoinulinase productivity was screened, named G-60 which were collected from the root soil of Jerusalem artichoke in Shihezi city of Xinjiang province of China. A Plackett-Burman design was used to evaluate the influence of eight factors. The results showed that inulin added amount, content of the peptone and the Liquid medium volume played an important role in influencing the endoinulinase activity. Then the path of steepest ascent and the Central Composite Design were suitable for further optimization, the optimal concentration of the variables were determined as Inulin 6.65%, Peptone 2.91%, and liquid medium volume 50 mL under this condition, the endoinulinase activity was increased to 23.57 U/mL, which was improved by 1.55 times than before optimization. 

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