evaluation of iranian electronic products manufacturing industries using an unsupervised model, aras, saw, and dea models

Iranian electronic products supplier industries are developing day by day and modern techniques and facilities are assigning as well as many promotions about green products supply chain as input materials introduced into the generation cycle of industries. current cluster study of iranian electronic products manufacturing industries (iepmi) comprised a technical and hierarchical evaluation carried out as the objective of current research. it was used spss and excel software to classify and analysis about 33 iepmi via an unsupervised model, additive ratio assessment (aras), simple additive weighting (saw) and data envelopment analysis (dea) models. finally, a hierarchical cluster classification has developed for the 33 industries pertaining to 5 main criteria as well as the total inventory of input, output materials and facilities employed. it was found that the ranking systems based on aras and saw presented the same results for iepmi. dea model was also classified iepmi in terms of efficiency score.