Environmental Impact Assessment (EIA) is a compulsory program for industrial projects once before the final approval of projects. The initial screening of projects by the Iranian evaluator team sounds an imminent channel to extend the data analysis for the decision making systems and classify the industries based on the nominal capacity of industries. The present research empirically united the additive model of Additive Ratio ASsessment (ARAS) with the Data Envelopment Analysis (DEA) to classify Iranian Food Industries (IFI) and Iranian Automotive Industries (IAI) pertaining to efficiency score. The objective of current research encompassed to execute the materials and energy stream in IFI and IAI as well as developing a relevant database in this regard. Both Kendall and Friedman tests were provided the weight values for the input and output criteria using SPSS software. A classification was come out for the IFI and IAI via the DEA model combined with the ARAS model. Manuscript profile

The Iranian Environment Protection Agency (IEPA) in collaboration with Iranian Industries Organization (IIO) need to design a relevant database for the industries information based on the initial screening of Iranian Evaluator Team (IET) in certain clusters. However, we aware of this fact that all industrial projects should go through the Environmental Impact Assessment (EIA) after and along with screening levels. Therefore, current research concise the three clusters of Iranian industries data to further assessment towards Data Envelopment Analysis (DEA) empirically. To calculate the efficiency score were employed the Additive Ratio ASsessment (ARAS) model in combination with the DEA model along with using Friedman and Kendall tests as weighing systems. Using SPSS software led to estimate the values of weight regarding the inputs and outputs of materials flow. The combination of both mentioned models has expanded the path for determination of DEA score for the Iranian Wood and Cellulose Industries (IWCI), Iranian Mining and Aggregate Industries (IMAI) and Iranian Textile and Leather Industries (ITLI). Manuscript profile