Malek Hassanpour

Abstract

Iranian Mining and Aggregate Industries (IMAI) are underdeveloping day by day and the country is one of the most important mineral producers in the world, ranked among 15 major mineral-rich countries. The current cluster study of IMAI has targeted the weighing and ranking industries empirically based on initial assessment of Iranian organizations once before constructing industries. The Weighted Aggregated Sum-Product Assessment (WASPAS) method was used to rank IMAI along with the Friedman test and Entropy Shannon method to estimate the weights. The existing data were undergone the SPSS and Excel 2013 soft-wares to analyse and design the methodology of computations patterns. The findings based on the Friedman test and Entropy Shannon weighing methods were manifested 2 different classifications for the IMAI. In the following steps, the effect of ƛ values on the ranking performance of WASPAS method was investigated for 26 IMAI. The input and output materials flow along with an essay upon the existing facilities were sought to find the best and easiest procedure for the economic estimation of IMAI individually.

Keywords- Evaluation, Assessment, Iranian Mining and Aggregate Industries, WASPAS