Classification of seven Iranian recycling industries using MCDM models

Document Type : Original Article

Author

Department of Environmental science, UCS, Osmania University, Telangana State, India

Abstract

Abstract Iranian recycling industries deal with generating lots of new materials and products. The value added to the national assets is impressive by the industries. The present research collected the initial data of recycling industries based on assessments completed by the evaluator team in the Environmental Impact Assessment (EIA). The objective of the current study was allocated to develop a new classification for recycling industries. The industries classified with regard to input and output networks introduced into industries cycles that were picked up from the screening step of projects in EIA. To classify the industries was employed Multi-Criteria Decision Making (MCDM) models along with Data Envelopment Analysis (DEA) in combination with Additive Ratio Assessment (ARAS) model. The industries were ranked based on the materials and energy streams. The weighing system of CRiteria Importance Through Intercriteria Correlation (CRITIC) was used to conduct the special vector into ranking systems. Findings confirmed full coincidence and compliance among 6 MCDM models applied as a sensitivity analysis. It can be concluded that the Nominal Capacity (NC) of industries plays the main role to sort out all recycling industries into a certain class and place them in a separate class pertain to energy and materials streams.

Keywords

References

Arshad, M., Abbas, M., & Iqbal, M. (2019). Ethanol production from molasses: Environmental and socioeconomic prospects in Pakistan: Feasibility and economic analysis. Environmental Technology & Innovation, 14, 100317.‏
Anthony, P., Behnoee, B., Hassanpour, M., Pamucar, D. (2019). Financial performance evaluation of seven Indian chemical companies. Decision Making: Applications in Management and Engineering, 2(1), 19-37.
Alwadood, Z., Noor NM, Salehin NFA, Mahadhir NI. (2019). Performance measure of Malaysian seaports using Data Envelopment Analysis (DEA). Journal of advanced research in computing and applications, 14(1), 1-9.
Blagojevic, A., Veskovic, S., Kasalica, S., Gojic, A., Allamani,A. (2020). The application of the fuzzy AHP and DEA for measuring the efficiency of freight transport railway undertakings. Operational Research in Engineering Sciences: Theory and Applications, 3(2), 1 -23.
Bozanic, D., Jurisic, D., Erkic, D. (2020). LBWA - Z-MAIRCA model supporting decision making in the army. Operational Research in Engineering Sciences: Theory and Applications, 3(2), 87-110.
Badi, I., Pamucar, D. (2020). Supplier selection for Steelmaking Company by using combined Grey-Marcos methods. Decision Making: Applications in Management and Engineering, 3(2), 37-47.
Biswas, S., Pamucar, D. (2020). Facility Location Selection for B-Schools in Indian Context: A Multi-Criteria Group Decision Based Analysis. Axioms, 9, 77, 1-18.
Badi, I., Kredish, M. (2020). Landfill site selection using a novel FUCOM-CODAS model: a case study in Libya. Scientific African, 9, e00537, 1-10.
Barati, A.A., Azadi, H., Dehghani, M.P., Lebailly, P., Qafori, M. (2019). Determining Key Agricultural Strategic Factors Using AHP-MICMAC. Sustainability, 11, 3947, 1-17.
Cao, Q., Esangbedo, M.O., Bai, S., Esangbedo, C.O. (2019). Grey SWARA-FUCOM Weighting Method for Contractor Selection MCDM Problem: A Case Study of Floating Solar Panel Energy System Installation. Energies, 12, 2481, 1030.
Daniels, J.A. (2020). Advances in environmental research volume 71. 1 ed, Chapter 1, Nova Science Publishers, Inc. New York, 1-261.
Folens, K., Huysman, S., Hulle, S.V., Laing, G.D. (2016). Chemical and economic optimization of the coagulation-flocculation process for silver removal and recovery from industrial wastewater. Separation and Purification Technology, 179, 145–151.
Gutierrez, L., Aubry, C., Cornejo, M., Croue, J-P. (2015). Citrate-coated silver nanoparticles interactions with effluent organic matter: influence of capping agent and solution conditions. American Chemical Society (ACS), 31, 32, 8865-8872.
Gupta, S., Bandyopadhyay, G., Bhattacharjee M, Biswas, S. (2019). Portfolio Selection using DEA-COPRAS at Risk – Return Interface Based on NSE (India). International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(10), 4078-4086.
Ghorabaee, M.K., Zavadskas, E.K., Olfat, L., Turskis, Z. (2015). Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS). INFORMATICA, 26(3), 435–451435.
Hassanpour, M. (2020). Evaluation of Iranian Small and Medium-Sized Industries. Ph.D. thesis. Osmania University, College of Science, 1-350.
Jafari, J.A., Hassanpour, M. (2014). Survey of economic indices of the used motor oil industry equipped to acidic sludge recycling unit (A case study). Merit Res. J. Eng. Pure Appl. Sci, 2(2), 22–29.
Jafari, J.A., Hassanpour, M., Gholami, M., Farzadkia, M. (2014). A novel method for recovery of acidic sludge of used-motor oil reprocessing industries to bitumen using bentonite and SBS. Iran. J. Health Saf. Environ, 1(2) 59-66.
 Kil, S-H., Lee, D.K., Kim, J-H., Li, M-H., Newman, G. (2016). Utilizing the Analytic Hierarchy Process to Establish Weighted Values for Evaluating the Stability of Slope Re-vegetation based on Hydro-seeding Applications in South Korea. Sustainability, 8, 58, 1-17.
 Karabasevic, D., Zavadskas, E.K., Stanujkic, D., Popovic, G., Brzakovic, M. (2018). An Approach to Personnel Selection in the IT Industry Based on the EDAS Method. Transformations in Business & Economics, 17, 2 (44), 54-65.
 Lin, F., Lin, S-W., Lu, W-M. (2018). Sustainability Assessment of Taiwan’s Semiconductor Industry: A New Hybrid Model Using Combined Analytic Hierarchy Process and Two-Stage Additive Network Data Envelopment Analysis. Sustainability, 10, 4070, 1-16.
 Mattsson, K., Hansson, L.A., Cedervall, T. (2015). Nano-plastics in the aquatic environment. Environ. Sci.: Processes Impacts. 17, 1712-1721.
 Munn, RE. (1979). Environmental Impact Assessment, Principles and Procedures. Scope 5. John Wiley and Sons, New York. 1-991.
Mishra, AR., Rani, P., Mardani, A., Kumari, R., Zavadskas, E.K., Sharma, D.K. (2020). An Extended Shapley TODIM Approach Using Novel Exponential Fuzzy Divergence Measures for Multi-Criteria Service Quality in Vehicle Insurance Firms. Symmetry, 12, 1452, 1-19.
 Rani, P., Mishra, A.R., Krishankumar, R., Mardani, A., Cavallaro, F., Ravichandran, K.S., Balasubramanian, K. (2020). Hesitant Fuzzy SWARA-Complex Proportional Assessment Approach for Sustainable Supplier Selection (HF-SWARA-COPRAS). Symmetry, 12, 1152, 1-19.
 Stevic, Z., Vasiljevic, M., Zavadskas, E.K., Sremac, S., Turskis, Z. (2018). Selection of Carpenter Manufacturer using Fuzzy EDAS Method. Inzinerine Ekonomika-Engineering Economics, 29(3), 281–290.
 Tchobanoglous, G., Kreith, F. (2016). Hand book of solid waste management. Mc Graw-Hill publication, USA. 1-834.
 Tabasi, M., Navabakhsh, M., Kotobashkan, H., Tavakkoli-Moghaddam, R. (2019). Performance evaluation using network data envelopment analysis approach with game theory under mixed grey-fuzzy uncertainty in Iran Khodro Company, 10 (13), 1-19.
 Veskovic, S., Stevic, Z., Karabaševic, D., Rajilic, S., Milinkovic, S., Stojic, G. (2020). A New Integrated Fuzzy Approach to Selecting the Best Solution for Business Balance of Passenger Rail Operator: Fuzzy PIPRECIA-Fuzzy EDAS Model. Symmetry, 12, 743, 1-20.
 Vujicic, M.D., Papic, M., Blagojevic, M.D. (2017). Comparative Analysis of Objective Techniques for Criteria Weighing in Two MCDM Methods on Example of an Air Conditioner Selection. TEHNIKA –MENADŽMENT, 67, 3, 422-429.
 Wu, N., Xu, Y., Liu, X., Wang, H., Herrera-Viedma, E. (2020). Water–Energy–Food nexus evaluation with a social network group decision making approach based on hesitant fuzzy preference relations. Applied Soft Computing Journal, 93, 106363, 1-15.
 Yazdani, M., Wen, Z., LIAO, H., Banaitis, A., Turskis, Z. (2019a). A GREY combined compromise solution (COCOSO-G) method for supplier selection in construction management, 25(8), 858–874.
 Yazdani, M., Chatterjee, P., Pamucar, D. and Abad, M.D. (2019b). A risk-based integrated decision-making model for green supplier selection: A case study of a construction company in Spain. Kybernetes, 49(4), 1229-1252.
 Zhang, Z., Liao, H., AL-Barakati, A., Zavadskas, E.K., Antuchevičienė, J. (2020). Supplier selection for housing development by an integrated method with interval rough boundaries. International Journal of Strategic Property Management, 24(4), 269–284.
 Zavadskas, E.K., Turskis, Z., Stević, Z., Mardani, A. (2020). A Modelling procedure for the selection of steel pipe supplier by applying the fuzzy AHP method. Operational Research in Engineering Sciences: Theory and Applications, 3(2), 39-53.
 Zhang, S., Wei, G., Gao, H., Wei, C., Wei, Y. (2019). EDAS method for multiple criteria group decision making with picture fuzzy information and its application to green suppliers selections. Technological and Economic Development of Economy, 25(6), 1123–1138.
Annals of Optimization Theory and Practice
Volume 3, Issue 4
December 2020
Pages 37-52

Files

Share

How to cite

Statistics