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Application of the Analytic Hierarchy Process and the Analytic Network Process for the assessment of different wastewater treatment systems

机译:层次分析法和网络分析法在不同废水处理系统评价中的应用

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Multicriteria analyses (MCAs) are used to make comparative assessments of alternative projects or heterogeneous measures and allow several criteria to be taken into account simultaneously in a complex situation. The paper shows the application of different MCA techniques to a real decision problem concerning the choice of the most sustainable wastewater treatment (WWT) technology, namely Anaerobic digestion, Phytoremediation and Composting, for small cheese factories. Particularly, the Analytic Hierarchy Process (AHP) and its recent implementation, the Analytic Network Process (ANP), have been considered for prioritizing the different technologies. The models enable all the elements of the decision process to be considered, namely environmental aspects, technological factors and economic costs, and to compare them to find the best alternative. The AHP and ANP techniques are applied through specific software packages with user-friendly interfaces called Expertchoice and Superdecision, respectively. A comparison of the merits obtained from the different models shows that Phytoremediation results as the most sustainable WWT technology for small cheese factories and that the use of the ANP method, which allows more sophisticated analysis to be made, succeeds in offering better results.
机译:多标准分析(MCA)用于对替代项目或异构措施进行比较评估,并允许在复杂情况下同时考虑多个标准。本文显示了将不同的MCA技术应用于一个实际的决策问题,该决策问题涉及为小型奶酪工厂选择最可持续的废水处理(WWT)技术,即厌氧消化,植物修复和堆肥。尤其是,考虑了层次分析法(AHP)及其最近的实现,即分析网络过程(ANP),以便对不同技术进行优先级排序。这些模型使决策过程的所有要素都可以被考虑,即环境方面,技术因素和经济成本,并进行比较以找到最佳选择。 AHP和ANP技术通过具有用户友好界面(分别称为Expertchoice和Superdecision)的特定软件包应用。对从不同模型获得的优点进行的比较表明,植物修复的结果是小型干酪工厂最可持续的WWT技术,并且使用ANP方法可以进行更复杂的分析,从而成功地提供了更好的结果。

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