Measuring the Efficiency and Ranking of Photocatalytic Degradation of Azo dye AR ۲۰۶ and COD Using Data Envelopment Analysis

In this study a new photocatalyst was prepared and identified using XRD pattern and SEM image. This catalyst is used to decomposition of azo dye Acid Red ۲۰۶(AR ۲۰۶) in aqueous solution. In the previous study optimum conditions has been obtained by using experimental design which is parametric method and is not proposed method for converting the inefficient experiments to efficient. Data Envelopment Analysis (DEA) involves an alternative principle for extracting information about a population of observations called Decision Making Units (DMUs) with similar quantitative characteristics. This is reflected by the assumption that each DMU uses the same set of inputs to produce the same set of outputs, but the inputs are consumed and outputs are produced in varying amounts. In this paper the input oriented CCR model and its super-efficiency model are proposed for measuring the efficiency and ranking of photocatalytic degradation of Azo dye AR ۲۰۶ and Chemical Oxigen Demand (COD) photocatalytic degradation experiments . We consider these experiments as DMUs. Finally inefficient experiments by using of the projection points were converted to the efficient experiments.

Keywords:

Data envelopment analysis , Chemical Oxigen Demand , Photocatalytic Degradation , Acid Red ۲۰۶ , Super-efficiency