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Evaluation of Iranian Chemical Industries

Malek Hassanpour

Malek Hassanpour 1


  1. Department of Environmental Science, UCS, Osmania University, Telangana State, India 1

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Pages: 26-48

DOI: 10.18488/journal.64.2020.81.26.48

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Article History:

Received: 15 January, 2020
Revised: 20 February, 2020
Accepted: 24 March, 2020
Published: 13 April, 2020


Abstract:

The chemical industry is part of the industries, which supply the chemicals needed by other industries through the conversion of raw materials into the required products. The current cluster study of Iranian Chemical Industries (ICI) encompassed all input and output materials streams, ICI energy demands and technologies applied based on the assessment carried out by both Iranian Industries Organization (IIO) and Iranian Environment Protection Agency (IEPA). Then the raw data were empirically evaluated via traditional to novel decision-making models, SPSS software and Excel 2013 to make a decision about the classification of ICI and pave the way for further industrial ecology studies in a certain cluster as the objective of current research. T-test analysis had presented no significant difference among the main criteria of ICI such as the number of staff, power, water, and fuel demands and the land area occupied by ICI individually. Finally, the obtained values in the weighing and ranking systems and Data Envelopment Analysis (DEA) was composed to classify ICI as a cluster ranking and prioritized them from the highest weighting value and efficiency score to the lowest one based on the main criteria and an inventory of availability.
Contribution/ Originality
This study contributes in the existing literature to Environmental Impact Assessment (EIA) of industrial projects conducted by the Iranian evaluator team. The screening of ICI scrutinized the existing properties of projects as a first report. The methodology employed traditionally to new decision-making models towards sustainable development of projects.

Keywords:

Decision-making models, Iranian chemical industries, Assessment, Evaluator team, DEA, EIA, Screening of projects.

Reference:

[1]          M. Porter, "Clusters and the new economics of competition," Harvard Business Review, vol. 76, pp. 79-85, 1998.

[2]          R. Munn, Environmental impact assessment, principles and procedures. New York: John Wiley and Sons, 1979.

[3]          J. Roshandel, S. S. Miri-Nargesi, and L. Hatami-Shirkouhi, "Evaluating and selecting the supplier in detergent production industry using hierarchical fuzzy TOPSIS," Applied Mathematical Modelling, vol. 37, pp. 10170-10181, 2013. Available at: https://doi.org/10.1016/j.apm.2013.05.043.

[4]          A. H. Rahdari, "Developing a fuzzy corporate performance rating system: A petrochemical industry case study," Journal of Cleaner Production, vol. 131, pp. 421-434, 2016. Available at: https://doi.org/10.1016/j.jclepro.2016.05.007.

[5]          S.-H. Hosseini, M. E. Ezazi, M. R. Heshmati, and S. Moghadam, "Top companies ranking based on financial ratio with AHP-TOPSIS combined approach and indices of Tehran stock exchange–a comparative study," International Journal of Economics and Finance, vol. 5, pp. 126-133, 2013. Available at: https://doi.org/10.5539/ijef.v5n3p126.

[6]          N. C. Onat, S. Gumus, M. Kucukvar, and O. Tatari, "Application of the TOPSIS and intuitionistic fuzzy set approaches for ranking the life cycle sustainability performance of alternative vehicle technologies," Sustainable Production and Consumption, vol. 6, pp. 12-25, 2016.

[7]          M. Tobiszewski, J. Namieśnik, and F. Pena-Pereira, "Environmental risk-based ranking of solvents using the combination of a multimedia model and multi-criteria decision analysis," Green Chemistry, vol. 19, pp. 1034-1042, 2017. Available at: https://doi.org/10.1039/c6gc03424a.

[8]          A. Indahingwati, M. Barid, N. Wajdi, D. Susilo, N. Kurniasih, and R. Rahim, "Comparison analysis of TOPSIS logic method on fertilizer selection," International Journal of Engineering & Technology, vol. 7, pp. 109-114, 2018. Available at: https://doi.org/10.14419/ijet.v7i2.3.12630.

[9]          D. R. Georgiadis, T. A. Mazzuchi, and S. Sarkani, "Using multi criteria decision making in analysis of alternatives for selection of enabling technology," Systems Engineering, vol. 16, pp. 287-303, 2013. Available at: https://doi.org/10.1002/sys.21233.

[10]        A. Mehdiabadi, A. Rohani, and S. Amirabdollahiyan, "Ranking industries using a hybrid of DEA-TOPSIS," Decision Science Letters, vol. 2, pp. 251-256, 2013. Available at: https://doi.org/10.5267/j.dsl.2013.07.001.

[11]        M. Tash and H. Nasrabadi, "Ranking Iran's monopolistic industry based on fuzzy TOPSIS method," Iranian Journal of Economic Studies, vol. 2, pp. 103-122, 2013.

[12]        S. Kavousi and Y. Salamzadeh, "Identifying and prioritizing factors influencing success of a strategic planning process: A study on national Iranian copper industries company," Asian Social Science, vol. 12, pp. 230-244, 2016. Available at: https://doi.org/10.5539/ass.v12n8p230.

[13]        S. M. Farzami and F. Vafaei, "Evaluation and selection of optimal contractor to execute project using FTOPSIS method (case study: Kermanshah Gas Company)," International Research Journal of Applied and Basic Sciences, vol. 6, pp. 450-459, 2013.

[14]        E. Dace, J. Rusanova, J. Gusca, and D. Blumberga, "Selecting a catalyst for methanation process: Technical and economic performance based TOPSIS analysis," in Proceedings of the 27th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2014), Finland, Turku, 15-19 June, 2014. Turku: Åbo Akademi University, 2014, pp. 1-9.

[15]        D. O. Aikhuele, S. Sorooshian, R. H. Ansah, and F. M. Turan, "Application of intuitionistic fuzzy TOPSIS model for troubleshooting an offshore patrol boat engine," Polish Maritime Research, vol. 24, pp. 68-76, 2017. Available at: https://doi.org/10.1515/pomr-2017-0051.

[16]        A. A. A. Rostami, M. Saberi, M. Hamidian, and M. Esfandiyar Pour, "Evaluating and ranking the firms in chemical industry listed in Tehran stock exchange with TOPSIS," Advances in Mathematical Finance and Applications, vol. 2, pp. 73-79, 2017.

[17]        K. Askarifar, Z. Motaffef, and S. Aazaami, "An investment development framework in Iran's seashores using TOPSIS and best-worst multi-criteria decision making methods," Decision Science Letters, vol. 7, pp. 55-64, 2018. Available at: https://doi.org/10.5267/j.dsl.2017.4.004.

[18]        A. Dinmohammadi and M. Shafiee, "Determination of the most suitable technology transfer strategy for wind turbines using an integrated AHP-TOPSIS decision model," Energies, vol. 10, pp. 1-17, 2017. Available at: https://doi.org/10.3390/en10050642.

[19]        A. Forghani, S. Sadjadi, and B. M. Farhang, "A supplier selection model in pharmaceutical supply chain using PCA, Z-TOPSIS and MILP: A case study," PloS one, vol. 13, pp. 1-17, 2018. Available at: https://doi.org/10.1371/journal.pone.0201604.

[20]        M. Hassanpour, "Evaluation of Iranian plastic industries," Journal of Waste Recycling, vol. 3, pp. 1-10, 2018.

[21]        D. Karabasevic, E. Kazimieras, D. Stanujkic, G. Popovic, and M. Brzakovic, "An approach to personnel selection in the IT industry based on the EDAS method," Transformations in Business & Economics, vol. 17, pp. 54-65, 2018.

[22]        A. Yazdani-Chamzini, M. M. Fouladgar, E. K. Zavadskas, and H. H. Moini, "Selecting the optimal renewable energy using multi criteria decision making," Journal of Business Economics and Management, vol. 14, pp. 957-978, 2013.

[23]        I. Mukhametzyanov and D. Pamucar, "A sensitivity analysis in MCDM problems: A statistical approach," Decision Making: Applications in Management and Engineering, vol. 1, pp. 51-80, 2018.

[24]        T. Adar and E. Delice, "New integrated approaches based on MC-HFLTS for healthcare waste treatment technology selection," Journal of Enterprise Information Management, vol. 32, pp. 688-711, 2019. Available at: https://doi.org/10.1108/jeim-10-2018-0235.

[25]        M. Milosavljević, M. Bursać, and G. Tričković, "Selection of the railroad container terminal in Serbia based on multi criteria decision making methods," Decision Making: Applications in Management and Engineering, vol. 1, pp. 1-15, 2018.

[26]        R. Eisinga, T. Heskes, B. Pelzer, and M. Te Grotenhuis, "Exact p-values for pairwise comparison of Friedman rank sums, with application to comparing classifiers," BMC Bioinformatics, vol. 1, pp. 1-18, 2017. Available at: https://doi.org/10.1186/s12859-017-1486-2.

[27]        J. Zagorskas, E. K. Zavadskas, Z. Turskis, M. Burinskienė, A. Blumberga, and D. Blumberga, "Thermal insulation alternatives of historic brick buildings in Baltic Sea Region," Energy and Buildings, vol. 78, pp. 35-42, 2014. Available at: https://doi.org/10.1016/j.enbuild.2014.04.010.

[28]        M. Yazdani, S. Hashemkhani Zolfani, and E. K. Zavadskas, "New integration of MCDM methods and QFD in the selection of green suppliers," Journal of Business Economics and Management, vol. 17, pp. 1097-1113, 2016. Available at: https://doi.org/10.3846/16111699.2016.1165282.

[29]        M. Ghorabaee, E. Zavadskas, Z. Turskis, and J. Antucheviciene, "A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making," Economic Computation and Economic Cybernetics Studies and Research, vol. 50, pp. 25-44, 2016.

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Funding:

This study received no specific financial support.

Competing Interests:

The author declares that there are no conflicts of interests regarding the publication of this paper.

Acknowledgement:

This research was conducted as part of the corresponding author’s Ph.D. research work.

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