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The group analytic hierarchy process (AHP) was used with boxplots and Spearman's rank correlation coefficient analyses. The relevant parameters of the hierarchy of decisions were calculated with Python. This multi-criteria decision-making model was then built. Previous investigations have not been reliable and the basic AHP is not always consistent. This Group AHP was then used to compare various vibro-stone column packing methods for treating the deep overburden dam foundation of a hydropower station in southwest China. The results show that the various project participants have different preferred technical routes. Designers and researchers are more inclined to choose innovative technical methods; while owners, constructors and supervisors are more inclined to use mature, reliable schemes. An intelligent feed device and a method were developed, which improve the quantity accuracy and the quality of the vibro-stone column filler for the deep overburden dam foundation.
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