Efficiency score assessment of Iranian automotive and food Industries

Abstract

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.