Determining the Importance and Prioritization of Sustainability Indicators in Cellulose Industries Using the Combined Fuzzy BWM-AHP-ARAS Method

Document Type : Original Article

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1 کرج

2 r

Abstract

Considering the ever-increasing growth of the world's population and the increasing needs for cellulosic products, it is very important to maintain sustainability in this industry. Therefore, it is necessary to determine the importance of sustainability indicators in cellulose industries, to improve the performance and environmental, social and economic effects of this industry. Because, by determining the importance of sustainability indicators in cellulose industries, it is possible to determine appropriate strategies and policies to improve sustainable performance in this industry and help achieve sustainable development and environmental protection.Therefore, the main goal of this research is to rely on the presented importance of developing a decision-making model that is able to identify the importance of categories (indices) affecting the sustainability of cellulose industries and also calculate the prioritization of sub-factors by analyzing through multi-criteria decision-making techniques. In this research, a combined method using hierarchical analysis and best-worst methods to calculate the weight of categories and Aras prioritization method is used to select the best option and suggest the order of preferred ranking of the options. From the analysis, it has been determined that 11 main categories and three sub-categories affect the sustainability of cellulose industries.
 According to the results, among the main categories of strategic supplier cooperation with a consolidated weight score of 0.1801, continuous improvement is the least important with a consolidated weight score of 0.0252. Also, among the sub-factors, environmental management with a desirability degree of 1 has the first priority and environmental pressure with a desirability degree of 0.555 has the last priority. In addition, with the introduction of this decision-making framework, the analyzes of previous researchers have been reconstructed, and the framework of alternative rankings has been proposed in a hybrid way.
 
 
 

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References

[1] H. Peng, N. Shen, H. Liao, H. Xue, and Q. Wang, "Uncertainty factors, methods, and solutions of closed-loop supply chain—a review for current situation and future prospects," J Clean Prod, vol. 254, p. 120032, 2020. https://doi.org/10.1016/j.jclepro.2020.120032
[2] N. Nikbin, and S. Mahdavi, "Application of starch in paper and cardboard industries". Scientific Quarterly Journal of Packaging Sciences and Techniques, vol. 2, no. 8. 2010. (In Persian) packaging.ihu.ac.ir/article_201294.html
[3] M. S. Bhatia, S. K. Jakhar, S. K. Mangla, and K. K. Gangwani, "Critical factors to environment management in a closed loop supply chain," J Clean Prod, vol. 255, p. 120239, 2020. https://doi.org/10.1016/j.jclepro.2020.120239
[4] C. N. Samuel, U. Venkatadri, C. Diallo, and A. Khatab, (2020). "Robust closed-loop supply chain design with presorting, return quality and carbon emission considerations". J Clean Prod, vol. 247, p. 119086. https://doi.org/10.1016/j.jclepro.2019.119086
[5] M. Rezaei Kallaj, M. Abolghasemian, S. Moradi Pirbalouti, M. Sabk Ara, and A. Pourghader Chobar, "Vehicle Routing Problem in Relief Supply under a Crisis Condition considering Blood Types," Math Probl Eng, vol. 2021, 2021. https://doi.org/10.1155/2021/7217182
[6] J. Guo, H. Yu, and M. Gen, "Research on green closed-loop supply chain with the consideration of double subsidy in e-commerce environment," Comput Ind Eng, vol. 149, p. 106779, 2020. https://doi.org/10.1016/j.cie.2020.106779
[7] S. Jahangiri, M. Abolghasemian, A. Pourghader Chobar, A. Nadaffard, and V. Maghi, "Ranking of key resources in the humanitarian supply chain in the emergency department of Iranian hospital: a real case study COVID-19 conditions," Journal Applied Research on Industrial Engineering, vol. 8, no. Special Issue, pp. 1-10. https://doi.org/10.22105/jarie.2021.275255.1263
[8] Y. Ranjbar, H. Sahebi, J. Ashayeri, and A. Teymouri, "A competitive dual recycling channel in a three-level closed loop supply chain under different power structures: Pricing and collecting decisions," J Clean Prod, vol. 272, p. 122623, 2020. https://doi.org/10.1016/j.jclepro.2020.122623
[9] A. M. Fathollahi-Fard, A. Ahmadi, and S. M. Al-e-Hashem, "Sustainable closed-loop supply chain network for an integrated water supply and wastewater collection system under uncertainty," Environ Chall, vol. 275, p. 111277, 2020. https://doi.org/10.1016/j.jenvman.2020.111277
[10] F. Asadia and M. Abolghasemianb, "Review coordination of advertising policy and its effect on competition between retailer and manufacture in the supply chain," Computational Research Progress in Applied Science and Engineering, vol. 4, no. 3, pp. 62-66, 2018. www.crpase.com/viewmore.php?pid=92
 
11] J. Zhao and N. Sun, "Government subsidies-based profits distribution pattern analysis in closed-loop supply chain using game theory," Adv Comput Vis, vol. 32, no. 6, pp. 1715-1724, 2020.
https://doi.org/10.1007/s00521-019-04245-2
[12] Y. Yun, A. Chuluunsukh, and M. Gen, "Sustainable Closed-Loop Supply Chain Design Problem: A Hybrid Genetic Algorithm Approach," Mathematics, vol. 8, no. 1, p. 84, 2020.
https://doi.org/10.3390/math8010084
[13] H. Reyhani Yamchi, Y. Jabarzadeh, N. Ghaffarinasab, V. Kumar, and J. A. Garza-Reyes, "A multi-objective linear optimization model for designing sustainable closed-loop agricultural supply chain," (2020) http://hdl.handle.net/10545/624695
[14] M. Rabani, S. A. A. Hosseini-Mokhallesun, A. H. Ordibazar, and H. Farhi-Asl, "A hybrid robust possibilistic approach for a sustainable supply chain location-allocation network design," Int J Sys Sci, vol. 7, no. 1, pp. 60-75, 2020.
https://doi.org/10.1080/23302674.2018.1506061
[15] S. S. Ali, T. Paksoy, B. Torğul, and R. Kaur, "Reverse logistics optimization of an industrial air conditioner manufacturing company for designing sustainable supply chain: a fuzzy hybrid multi-criteria decision-making approach," Wire Net, pp. 1-24, 2020. https://doi.org/10.1016/j.cie.2018.12.062.
[16] M. Parsa, A. Shahandeh Nookabadi, Z. Atan, and Y. Malekian, "An optimal inventory policy for a multi-echelon closed-loop supply chain of postconsumer recycled content products," Oper Res, pp. 1-52, 2020. https://doi.org/10.1007/s12351-020-00604-3
[17] A. K. Nasr, M. Tavana, B. Alavi, and H. Mina, "A novel fuzzy multi-objective circular supplier selection and order allocation model for sustainable closed-loop supply chains," J Clean Prod, p. 124994, 2021. https://doi.org/10.1016/j.jclepro.2020.124994
[18] A. Diabat and A. Jebali, "Multi-product and multi-period closed loop supply chain network design undertake-back legislation," Int J Pro Eco, vol. 231, p. 107879, 2021.
https://doi.org/10.1016/j.ijpe.2020.107879
[19] J. Dong, L. Jiang, W. Lu, and Q. Guo, Closed-loop supply chain models with product remanufacturing under random demand," Opt, vol. 70,. 1, pp. 27-53, 2021. https://doi.org/10.1080/02331934.2019.1696341
 
 
[20] A. Khakbaz and E. B. Tirkolaee, "A sustainable hybrid manufacturing/remanufacturing system with two-way substitution and WEEE directive under different market conditions," Opt, vol. 71, no. 11, pp. 3083-3106, 2022. https://doi.org/10.1080/02331934.2021.1935937
[21] J. Ahmed, S. H. Amin, and L. Fang, "A multi-objective approach for designing a tire closed-loop supply chain network considering producer responsibility," Math Appl Sci Eng, vol. 115, pp. 616-644, 2023. https://doi.org/10.1016/j.apm.2022.10.028
[22] B. Mosallanezhad, M. A. Arjomandi, O. Hashemi-Amiri, F. Gholian-Jouybari, M. Dibaj, M. Akrami, and M. Hajiaghaei-Keshteli, "Metaheuristic optimizers to solve multi-echelon sustainable fresh seafood supply chain network design problem: A case of shrimp products," Alex Eng J, vol. 68, pp. 491-515, 2023. https://doi.org/10.1016/j.aej.2023.01.022
[23] O. Hashemi-Amiri, M. Mohammadi, G. Rahmanifar, M. Hajiaghaei-Keshteli, G. Fusco, and C. Colombaroni, "An allocation-routing optimization model for integrated solid waste management," Exp Sys App, vol. 227, p. 120364, 2023. https://doi.org/10.1016/j.eswa.2023.120364
[24] J. Rezaei, "Best-worst multi-criteria decision-making method," Omg, vol. 53, pp. 49-57, 2015. https://doi.org/10.1016/j.omega.2014.11.009
[25] E. K. Zavadskas and Z. Turskis, "A New Additive Ratio Assessment (ARAS) Method in Multicriteria Decision Making," Tech Eco Dep Eco, vol. 16, no. 2, 159-172, 2010. https://doi.org/10.3846/tede.2010.10

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  • Receive Date: 14 June 2023
  • Revise Date: 20 July 2023
  • Accept Date: 14 October 2023

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