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How to use Minitab to create Plackett-Burman, for this problem, this article details the corresponding analysis and solution, hoping to help more small partners who want to solve this problem find a simpler and easier way.

Plackett-Burman is a two-level experimental design method, which attempts to estimate the main effects of factors as accurately as possible with the least number of trials. It is suitable for quickly and effectively screening the most important factors from a large number of investigation factors for further research. It is often used to screen test factors before response surface tests.

Potential factors affecting FPY in wave furnace soldering: A conveyor angle, B conveyor speed, C tin surface height, D tin furnace temperature, E rosin temperature, F rosin specific gravity, G preheating temperature, H tin bar type, etc. Suppose that the controllable range of factor A is (a, b), and a and b correspond to-1 and 1 respectively in the experiment. Similarly, for other factors, please select a few factors with large influence through Plackett-Burman design.

PB test design

Create Plackett-Burman test using Minitab, menu actions: Statistics →DOE→ Factors → Create Factorial Design, and enter result data for test metric Y.

Minitab data analysis

Data analysis was performed using Minitab software, menu operations: Statistics →DOE→ Factors → Analysis Factor Design.

First look at the results of the ANOVA table.

This example fits the relationship between A~H and Y, analysis of variance F=10.28, P=0.041

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