Evaluation of Iranian household appliance industries using MCDM models

  • Malek Hassanpour Department of Environmental science, UCS, Osmania University, Telangana State, India
  • Dragan Pamucar Department of logistics, Military Academy, University of Defence in Belgrade, Serbia
Keywords: Evaluation, Household Appliance Industries, ARAS, CODAS, DEA Models


Technology development and maturation in the field of household appliance industries, approach to the initial media and aims of Industry 4.0 are promising scenarios for the future. However, the present cluster study of Iranian Household Appliance Industries (IHAI) empirically seeks the full details of IHAI based on the preliminary studies of both Iranian industries organization and Iranian environment protection agency once in the industry confirmation step and issue the authorities and licenses to stakeholders. Simple Additive Weighing (SAW), Additive Ratio ASsessment (ARAS) and COmbinative Distance-based ASsessment (CODAS) method and Data Envelopment Analysis (DEA) were employed to classify IHAI based on the main criteria via SPSS and Excel 2013 soft-wares. By the way, the Friedman test and Entropy Shannon weighing systems were also applied to distinguish the values of weights. The findings were revealed three prominent steps to achieve sustainable development purposes, economic estimation and efficiency appraise of industries in the easiest possible situation. Also, by current study IHAI were classified by a ranking system of DEA, in terms of efficiency score.


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How to Cite
Hassanpour, M., & Pamucar, D. (2019). Evaluation of Iranian household appliance industries using MCDM models. Operational Research in Engineering Sciences: Theory and Applications, 2(3), 1-25. https://doi.org/10.31181/oresta1903001h