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Green Supplier Selection in the Textile Industry Using MCDM Methods Under the Interval-Valued Intuitionistic Fuzzy Environment

Year 2022, , 296 - 316, 15.06.2022
https://doi.org/10.31466/kfbd.1060512

Abstract

The importance of protecting the environment is increasing day by day due to environmental concerns such as global warming, human toxicity, eutrophication, and water scarcity. For this reason, companies have started to change their production processes to be enviromentally friendly. One of the necessary changes is to supply raw materials and/or products that are less harmful to the environment. Therefore, companies have to procure raw materials and/or products from green suppliers. This study, it is aimed to evaluate green suppliers for a textile industry under the interval-valued intuitionistic fuzzy (IVIF) environment, considering various environmental and economic criteria. AHP and TOPSIS methods are integrated under the IVIF environment to be used in the evaluation process of green suppliers. In the integrated method, the IVIF-AHP method is used to calculate criterion weights and the IVIF-TOPSIS method is used to rank green suppliers. At the end of the study, a sensitivity analysis is conducted to observe the effects of changes in the weights of the criteria in the selection of green suppliers for the textile industry.

References

  • Abdullah, L., and Najib, L. (2014). A new preference scale of intuitionistic fuzzy analytic hierarchy process in multi-criteria decision making problems. Journal of Intelligent & Fuzzy Systems, 26(2), 1039-1049. doi:10.3233/Ifs-130796
  • Acar, A. Z., Onden, I., and Gurel, O. (2016). Evaluation of the Parameters of the Green Supplier Selection Decision in Textile Industry. Fibres & Textiles in Eastern Europe, 24(5), 8-14. doi:10.5604/12303666.1215520
  • Amindoust, A., and Saghafinia, A. (2017). Textile supplier selection in sustainable supply chain using a modular fuzzy inference system model. Journal of the Textile Institute, 108(7), 1250-1258. doi:10.1080/00405000.2016.1238130
  • Atanassov, K., and Gargov, G. (1989). Interval Valued Intuitionistic Fuzzy-Sets. Fuzzy Sets and Systems, 31(3), 343-349. doi:Doi 10.1016/0165-0114(89)90205-4
  • Banaeian, N., Mobli, H., Fahimnia, B., Nielsen, I. E., and Omid, M. (2018). Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry. Computers & Operations Research, 89, 337-347. doi:10.1016/j.cor.2016.02.015
  • Boran, F. E., Genc, S., Kurt, M., and Akay, D. (2009). A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Systems with Applications, 36(8), 11363-11368. doi:10.1016/j.eswa.2009.03.039
  • Celik, E., Yucesan, M., andGul, M. (2021). Green supplier selection for textile industry: a case study using BWM-TODIM integration under interval type-2 fuzzy sets. Environmental Science and Pollution Research, 1-25. doi:10.1007/s11356-021-13832-7
  • Chen, S. M., Yang, M. W., Yang, S. W., Sheu, T. W., andLiau, C. J. (2012). Multicriteria fuzzy decision making based on interval-valued intuitionistic fuzzy sets. Expert Systems with Applications, 39(15), 12085-12091. doi:10.1016/j.eswa.2012.04.021
  • Chen, T. Y., Wang, H. P., andLu, Y. Y. (2011). A multicriteria group decision-making approach based on interval-valued intuitionistic fuzzy sets: A comparative perspective. Expert Systems with Applications, 38(6), 7647-7658. doi:10.1016/j.eswa.2010.12.096
  • Ecer, B., Aktas, A., andKabak, M. (2019). Green supplier selection of a textile manufacturer: a hybrid approach based on AHP and VIKOR. MANAS Journal of Engineering, 7(2), 126-135.
  • Ecer, F. (2020). Multi-criteria decision making for green supplier selection using interval type-2 fuzzy AHP: a case study of a home appliance manufacturer. Operational Research, 1-35. doi:10.1007/s12351-020-00552-y
  • Gören, H. G., andŞenocak, A. A. (2018). Macbeth Based Taguchi Loss Functions Approach for Green Supplier Selection: A Case Study in Textile Industry. Journal of Textile & Apparel, 28(2), 90-97.
  • Guarnieri, P., andTrojan, F. (2019). Decision making on supplier selection based on social, ethical, and environmental criteria: A study in the textile industry. Resources Conservation and Recycling, 141, 347-361. doi:10.1016/j.resconrec.2018.10.023
  • Guo, Z. X., Liu, H. T., Zhang, D. Q., andYang, J. (2017). Green Supplier Evaluation and Selection in Apparel Manufacturing Using a Fuzzy Multi-Criteria Decision-Making Approach. Sustainability, 9(4), 650. doi:10.3390/su9040650
  • Javad, M. O. M., andJavad, A. O. M. (2020). Green supplier selection for the steel industry using BWM and fuzzy TOPSIS: A case study of Khouzestan steel company. Sustainable Futures, 2, 100012.
  • Kahraman, C., Oztaysi, B., andOnar, S. C. (2020). An Integrated Intuitionistic Fuzzy AHP and TOPSIS Approach to Evaluation of Outsource Manufacturers. Journal of Intelligent Systems, 29(1), 283-297. doi:10.1515/jisys-2017-0363
  • Kokoc, M., and Ersoz, S. (2021). New Ranking Functions for Interval-Valued Intuitionistic Fuzzy Sets and Their Application to Multi-Criteria Decision-Making Problem. Cybernetics and Information Technologies, 21(1), 3-18. doi:10.2478/cait-2021-0001.
  • Kokoc, M., and Ersoz, S. (2021). A Literature Review Of Interval-Valued Intuitionistic Fuzzy Multi-Criteria Decision-Making Methodologies. Operations Research and Decisions, 31(4), 89-116. doi: 10.37190/ord210405.
  • Liao, H. C., Xu, Z. S., andXia, M. M. (2014). Multiplicative consistency of interval-valued intuitionistic fuzzy preference relation. Journal of Intelligent & Fuzzy Systems, 27(6), 2969-2985. doi:10.3233/Ifs-141256
  • Mishra, A. R., Rani, P., Mardani, A., Pardasani, K. R., Govindan, K., andAlrasheedi, M. (2020). Healthcare evaluation in hazardous waste recycling using novel interval-valued intuitionistic fuzzy information based on complex proportional assessment method. Computers & Industrial Engineering, 139, 106140. doi:10.1016/j.cie.2019.106140
  • Onar, S. C., Oztaysi, B., Otay, I., andKahraman, C. (2015). Multi-expert wind energy technology selection using interval-valued intuitionistic fuzzy sets. Energy, 90, 274-285. doi:10.1016/j.energy.2015.06.086
  • Oztaysi, B., Onar, S. C., Kahraman, C., andYavuz, M. (2017). Multi-criteria alternative-fuel technology selection using interval-valued intuitionistic fuzzy sets. Transportation Research Part D-Transport and Environment, 53, 128-148. doi:10.1016/j.trd.2017.04.003
  • Tooranloo, H. S., andIranpour, A. (2017). Supplier selection and evaluation using interval-valued intuitionistic fuzzy AHP method. International journal of procurement management, 10(5), 539-554.
  • Ulutas, A., Topal, A., andBakhat, R. (2019). An Application of Fuzzy Integrated Model in Green Supplier Selection. Mathematical Problems in Engineering, 2019. doi:10.1155/2019/4256359
  • Wu, J., Huang, H. B., andCao, Q. W. (2013). Research on AHP with interval-valued intuitionistic fuzzy sets and its application in multi-criteria decision making problems. Applied Mathematical Modelling, 37(24), 9898-9906. doi:10.1016/j.apm.2013.05.035
  • Xu, Z. S. (2007). Methods for aggregating interval-valued intuitionistic fuzzy information and their application to decision making. Control Decision, 22(2), 215-219.
  • Yang, Y., andWang, Y. (2020). Supplier Selection for the Adoption of Green Innovation in Sustainable Supply Chain Management Practices: A Case of the Chinese Textile Manufacturing Industry. Processes, 8(6), 717. doi:10.3390/pr8060717

Aralık-Değerli Sezgisel Bulanık Ortamda ÇKKV Yöntemleri Kullanılarak Tekstil Endüstrisinde Yeşil Tedarikçi Seçimi

Year 2022, , 296 - 316, 15.06.2022
https://doi.org/10.31466/kfbd.1060512

Abstract

Küresel ısınma, insan toksisitesi, ötrofikasyon, su kıtlığı gibi çevresel kaygılar nedeniyle çevreyi korumanın önemi her geçen gün artmaktadır. Bu nedenle firmalar üretim süreçlerini çevre dostu olacak şekilde değiştirmeye başlamışlardır. Gerekli değişikliklerden biri, çevreye daha az zarar veren hammadde ve/veya ürünler tedarik etmektir. Bu nedenle şirketler, yeşil tedarikçilerden hammadde ve/veya ürün tedarik etmek zorundadır. Bu çalışmada, bir tekstil endüstrisi için yeşil tedarikçilerin çeşitli çevresel ve ekonomik kriterler göz önünde bulundurularak aralık-değerli sezgisel bulanık (ADSB) ortamda değerlendirilmesi amaçlanmıştır. AHP ve TOPSIS yöntemleri, yeşil tedarikçilerin değerlendirme sürecinde kullanılmak üzere ADSB ortamda entegre edilmiştir. Entegre edilen yöntemde, ADSB-AHP yöntemi kriter ağırlıklarını hesaplamak için ve ADSB-TOPSIS yöntemi, yeşil tedarikçileri sıralamak için kullanılmıştır. Çalışmanın sonunda, tekstil sektörü için yeşil tedarikçi seçiminde kriterlerin ağırlıklarındaki değişikliklerin etkilerini gözlemlemek için bir duyarlılık analizi yapılmıştır.

References

  • Abdullah, L., and Najib, L. (2014). A new preference scale of intuitionistic fuzzy analytic hierarchy process in multi-criteria decision making problems. Journal of Intelligent & Fuzzy Systems, 26(2), 1039-1049. doi:10.3233/Ifs-130796
  • Acar, A. Z., Onden, I., and Gurel, O. (2016). Evaluation of the Parameters of the Green Supplier Selection Decision in Textile Industry. Fibres & Textiles in Eastern Europe, 24(5), 8-14. doi:10.5604/12303666.1215520
  • Amindoust, A., and Saghafinia, A. (2017). Textile supplier selection in sustainable supply chain using a modular fuzzy inference system model. Journal of the Textile Institute, 108(7), 1250-1258. doi:10.1080/00405000.2016.1238130
  • Atanassov, K., and Gargov, G. (1989). Interval Valued Intuitionistic Fuzzy-Sets. Fuzzy Sets and Systems, 31(3), 343-349. doi:Doi 10.1016/0165-0114(89)90205-4
  • Banaeian, N., Mobli, H., Fahimnia, B., Nielsen, I. E., and Omid, M. (2018). Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry. Computers & Operations Research, 89, 337-347. doi:10.1016/j.cor.2016.02.015
  • Boran, F. E., Genc, S., Kurt, M., and Akay, D. (2009). A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method. Expert Systems with Applications, 36(8), 11363-11368. doi:10.1016/j.eswa.2009.03.039
  • Celik, E., Yucesan, M., andGul, M. (2021). Green supplier selection for textile industry: a case study using BWM-TODIM integration under interval type-2 fuzzy sets. Environmental Science and Pollution Research, 1-25. doi:10.1007/s11356-021-13832-7
  • Chen, S. M., Yang, M. W., Yang, S. W., Sheu, T. W., andLiau, C. J. (2012). Multicriteria fuzzy decision making based on interval-valued intuitionistic fuzzy sets. Expert Systems with Applications, 39(15), 12085-12091. doi:10.1016/j.eswa.2012.04.021
  • Chen, T. Y., Wang, H. P., andLu, Y. Y. (2011). A multicriteria group decision-making approach based on interval-valued intuitionistic fuzzy sets: A comparative perspective. Expert Systems with Applications, 38(6), 7647-7658. doi:10.1016/j.eswa.2010.12.096
  • Ecer, B., Aktas, A., andKabak, M. (2019). Green supplier selection of a textile manufacturer: a hybrid approach based on AHP and VIKOR. MANAS Journal of Engineering, 7(2), 126-135.
  • Ecer, F. (2020). Multi-criteria decision making for green supplier selection using interval type-2 fuzzy AHP: a case study of a home appliance manufacturer. Operational Research, 1-35. doi:10.1007/s12351-020-00552-y
  • Gören, H. G., andŞenocak, A. A. (2018). Macbeth Based Taguchi Loss Functions Approach for Green Supplier Selection: A Case Study in Textile Industry. Journal of Textile & Apparel, 28(2), 90-97.
  • Guarnieri, P., andTrojan, F. (2019). Decision making on supplier selection based on social, ethical, and environmental criteria: A study in the textile industry. Resources Conservation and Recycling, 141, 347-361. doi:10.1016/j.resconrec.2018.10.023
  • Guo, Z. X., Liu, H. T., Zhang, D. Q., andYang, J. (2017). Green Supplier Evaluation and Selection in Apparel Manufacturing Using a Fuzzy Multi-Criteria Decision-Making Approach. Sustainability, 9(4), 650. doi:10.3390/su9040650
  • Javad, M. O. M., andJavad, A. O. M. (2020). Green supplier selection for the steel industry using BWM and fuzzy TOPSIS: A case study of Khouzestan steel company. Sustainable Futures, 2, 100012.
  • Kahraman, C., Oztaysi, B., andOnar, S. C. (2020). An Integrated Intuitionistic Fuzzy AHP and TOPSIS Approach to Evaluation of Outsource Manufacturers. Journal of Intelligent Systems, 29(1), 283-297. doi:10.1515/jisys-2017-0363
  • Kokoc, M., and Ersoz, S. (2021). New Ranking Functions for Interval-Valued Intuitionistic Fuzzy Sets and Their Application to Multi-Criteria Decision-Making Problem. Cybernetics and Information Technologies, 21(1), 3-18. doi:10.2478/cait-2021-0001.
  • Kokoc, M., and Ersoz, S. (2021). A Literature Review Of Interval-Valued Intuitionistic Fuzzy Multi-Criteria Decision-Making Methodologies. Operations Research and Decisions, 31(4), 89-116. doi: 10.37190/ord210405.
  • Liao, H. C., Xu, Z. S., andXia, M. M. (2014). Multiplicative consistency of interval-valued intuitionistic fuzzy preference relation. Journal of Intelligent & Fuzzy Systems, 27(6), 2969-2985. doi:10.3233/Ifs-141256
  • Mishra, A. R., Rani, P., Mardani, A., Pardasani, K. R., Govindan, K., andAlrasheedi, M. (2020). Healthcare evaluation in hazardous waste recycling using novel interval-valued intuitionistic fuzzy information based on complex proportional assessment method. Computers & Industrial Engineering, 139, 106140. doi:10.1016/j.cie.2019.106140
  • Onar, S. C., Oztaysi, B., Otay, I., andKahraman, C. (2015). Multi-expert wind energy technology selection using interval-valued intuitionistic fuzzy sets. Energy, 90, 274-285. doi:10.1016/j.energy.2015.06.086
  • Oztaysi, B., Onar, S. C., Kahraman, C., andYavuz, M. (2017). Multi-criteria alternative-fuel technology selection using interval-valued intuitionistic fuzzy sets. Transportation Research Part D-Transport and Environment, 53, 128-148. doi:10.1016/j.trd.2017.04.003
  • Tooranloo, H. S., andIranpour, A. (2017). Supplier selection and evaluation using interval-valued intuitionistic fuzzy AHP method. International journal of procurement management, 10(5), 539-554.
  • Ulutas, A., Topal, A., andBakhat, R. (2019). An Application of Fuzzy Integrated Model in Green Supplier Selection. Mathematical Problems in Engineering, 2019. doi:10.1155/2019/4256359
  • Wu, J., Huang, H. B., andCao, Q. W. (2013). Research on AHP with interval-valued intuitionistic fuzzy sets and its application in multi-criteria decision making problems. Applied Mathematical Modelling, 37(24), 9898-9906. doi:10.1016/j.apm.2013.05.035
  • Xu, Z. S. (2007). Methods for aggregating interval-valued intuitionistic fuzzy information and their application to decision making. Control Decision, 22(2), 215-219.
  • Yang, Y., andWang, Y. (2020). Supplier Selection for the Adoption of Green Innovation in Sustainable Supply Chain Management Practices: A Case of the Chinese Textile Manufacturing Industry. Processes, 8(6), 717. doi:10.3390/pr8060717
There are 27 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Melda Kokoç 0000-0003-2035-9777

Publication Date June 15, 2022
Published in Issue Year 2022

Cite

APA Kokoç, M. (2022). Green Supplier Selection in the Textile Industry Using MCDM Methods Under the Interval-Valued Intuitionistic Fuzzy Environment. Karadeniz Fen Bilimleri Dergisi, 12(1), 296-316. https://doi.org/10.31466/kfbd.1060512