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本主旨在说明合理的试验设计以及为了筛选复杂系统中的操作变量以确保在最少的投资和劳动时对系统模化而采取恰当策略的重要性．本文阐述了一些统计筛选方法的优点和局限性，例如堆浸数学模型敏感性分析中的Plackett－Burman设计、Hadamard方法和立成分分析法．堆浸是一复杂系统．其中要考虑15个变量和4个因变量．将各种策略与对过程的先验知识结合起来．可以说明如何筛选过程的相关变量
The main thrust of this article is to demonstrate the importance of sound experimental design and the proper strategy to screen operational variables in complex systems to ensure that the system is modeled with minimal investment and labor. This article describes the advantages and limitations of some statistical screening methods, such as the Plackett-Burman design, the Hadamard method, and the compositional analysis method in the sensitivity analysis of heap leach mathematical models. Heap leaching is a complex system. Which should consider 15 variables and 4 dependent variables. Combine strategies with a priori knowledge of the process. It shows you how to filter the relevant variables of the process