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Green Supplier Selection with TOPSIS Technique Based on Spherical Fuzzy Numbers

Yıl 2022, , 483 - 506, 31.12.2022
https://doi.org/10.38155/ksbd.1187057

Öz

It is important to select the right supplier to create sustainable supply chain structures. Identifying suppliers that are particularly sensitive to the environment and human health, that is, green suppliers, is among the main objectives in the supplier selection process. The green supplier selection (GSS) problem is mostly the subject of multi-criteria decision-making and multi-attribute group decision-making research. In this research, the GSS problem of a hotel business is discussed. Technique for order preference by similarity to ideal solution (TOPSIS) technique was applied by using spherical fuzzy numbers in the research. Within the scope of the research, three decision makers, four alternatives and four criteria (Economic, quality, social and environmental criteria) were used. The collected data based on spherical fuzzy linguistic expressions were combined with the Spherical Weighted Arithmetic Mean (SWAM) operator and the criteria were weighted. Alternatives are ranked by TOPSIS technique based on spherical fuzzy numbers. According to the research findings, the GSS criterion weight of the hotel business was determined as the highest criterion quality criterion and the lowest criterion as social criterion. As a result of the application, the alternatives were ranked, and the third alternative was determined as the best alternative. It has been suggested to the researchers to apply multi-criteria group decision making techniques with fuzzy numbers in solving GSS problem.

Kaynakça

  • Abdel-Baset, M., Chang, V., Gamal, A., & Smarandache, F. (2019). An integrated neutrosophic ANP and VIKOR method for achieving sustainable supplier selection: A case study in importing field. Computers in Industry, 106, 94-110. https://doi.org/10.1016/j.compind.2018.12.017
  • Alrasheedi, M., Mardani, A., Mishra, A. R., Rani, P., & Loganathan, N. (2022). An extended framework to evaluate sustainable suppliers in manufacturing companies using a new Pythagorean fuzzy entropy-SWARA-WASPAS decision-making approach. Journal of Enterprise Information Management, 35(2), 333-357. https://doi.org/10.1108/JEIM-07-2020-0263
  • Atanassov, K. T. (1999). Intuitionistic fuzzy sets. In Intuitionistic fuzzy sets (pp. 1-137). Physica, Heidelberg.
  • Aydoğdu, A., & Gül, S. (2020). A novel entropy proposition for spherical fuzzy sets and its application in multiple attribute decision‐making. International Journal of Intelligent Systems, 35(9), 1354-1374. https://doi.org/10.1002/int.22256
  • Bali, O. (2018). A Dynamic MCDM Approach Based on Simplified Neutrosophic Sets for Green Supplier Selection. Journal of Management and Information Science, 6(2), 14-23.
  • Bali, O., Kose, E., & Gumus, S. (2013). Green supplier selection based on IFS and GRA. Grey Systems: Theory and Application, 3(2), 158-176. https://doi.org/10.1108/GS-04-2013-0007
  • Büyüközkan, G., & Çifçi, G. (2012). A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Systems with Applications, 39(3), 3000-3011. https://doi.org/10.1016/j.eswa.2011.08.162
  • Cao, Q., Wu, J., & Liang, C. (2015). An intuitionsitic fuzzy judgement matrix and TOPSIS integrated multi-criteria decision making method for green supplier selection. Journal of Intelligent & Fuzzy Systems, 28(1), 117-126. https://doi.org/10.3233/IFS-141281
  • Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy sets and systems, 114(1), 1-9.
  • Çalık, A. (2021). A novel Pythagorean fuzzy AHP and fuzzy TOPSIS methodology for green supplier selection in the Industry 4.0 era. Soft Computing, 25(3), 2253-2265. https://doi.org/10.1007/s00500-020-05294-9
  • Demir, E., & Koca, G. (2020, July). Green supplier selection using intuitionistic fuzzy AHP and TOPSIS methods: a case study from the paper mills. In International Conference on Intelligent and Fuzzy Systems (pp. 666-673). Springer, Cham.
  • Ghorabaee, M. K., Zavadskas, E. K., Amiri, M., & Esmaeili, A. (2016). Multi-criteria evaluation of green suppliers using an extended WASPAS method with interval type-2 fuzzy sets. Journal of Cleaner Production, 137, 213-229. https://doi.org/10.1016/j.jclepro.2016.07.031
  • Govindan, K., Khodaverdi, R., & Vafadarnikjoo, A. (2015). Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain. Expert Systems with Applications, 42(20), 7207-7220. https://doi.org/10.1016/j.eswa.2015.04.030
  • Göçer, F. (2021). Improving sustainable supplier evaluation by an integrated MCDM method under pythagorean fuzzy environment. Cumhuriyet Science Journal, 42(1), 218-235. http://dx.doi.org/10.17776/csj.735674
  • Gupta, S., Soni, U., & Kumar, G. (2019). Green supplier selection using multi-criterion decision making under fuzzy environment: A case study in automotive industry. Computers & Industrial Engineering, 136, 663-680. https://doi.org/10.1016/j.cie.2019.07.038
  • Islam, S., & Deb, S. C. (2019). Neutrosophic Goal Programming Approach to A Green Supplier Selection Model with Quantity Discount. Neutrosophic Sets and Systems, 30, 98-112. https://digitalrepository.unm.edu/nss_journal/vol30/iss1/7
  • Kaur, P., Dutta, V., Pradhan, B. L., Haldar, S., & Chauhan, S. (2021). A Pythagorean Fuzzy Approach for Sustainable Supplier Selection Using TODIM. Mathematical Problems in Engineering, 2021. https://doi.org/10.1155/2021/4254894
  • Khalilzadeh, M., & Derikvand, H. (2018). A multi-objective supplier selection model for green supply chain network under uncertainty. Journal of Modelling in Management, 13(3), 605-625. https://doi.org/10.1108/JM2-06-2017-0062
  • Kumari, R., & Mishra, A. R. (2020). Multi-criteria COPRAS method based on parametric measures for intuitionistic fuzzy sets: application of green supplier selection. Iranian journal of science and technology, Transactions of Electrical Engineering, 44(4), 1645-1662. https://doi.org/10.1007/s40998-020-00312-w
  • Kutlu Gündoğdu, F., & Kahraman, C. (2019). Spherical fuzzy sets and spherical fuzzy TOPSIS method. Journal of intelligent & fuzzy systems, 36(1), 337-352. https://doi.org/10.3233/jifs-181401
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  • Malviya, R. K., Kant, R., & Gupta, A. D. (2018). Evaluation and selection of sustainable strategy for green supply chain management implementation. Business Strategy and the Environment, 27(4), 475-502. https://doi.org/10.1002/bse.2016
  • Mavi, R. K. (2015). Green supplier selection: a fuzzy AHP and fuzzy ARAS approach. International Journal of Services and Operations Management, 22(2), 165-188. https://doi.org/10.1504/IJSOM.2015.071528
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Küresel Bulanık Sayılara Dayalı TOPSIS Tekniğiyle Yeşil Tedarikçi Seçimi

Yıl 2022, , 483 - 506, 31.12.2022
https://doi.org/10.38155/ksbd.1187057

Öz

Sürdürülebilir tedarik zinciri yapılarının oluşturulabilmesi için doğru tedarikçi seçimi önemlidir. Özellikle çevreye ve insan sağlığına duyarlı tedarikçilerin yani yeşil tedarikçilerin tespit edilmesi tedarikçi seçim sürecindeki temel hedefler arasında yer almaktadır. Yeşil tedarikçi seçim (YTS) problemi yoğunlukla çok kriterli karar verme ve çok ölçütlü grup karar verme araştırmalar konusudur. Bu araştırma da bir otel işletmesinin YTS problemi ele alınmıştır. Araştırmada küresel bulanık sayılar kullanılarak “İdeal çözüme benzerliğe göre sıralama tercihi (TOPSIS)” tekniği uygulanmıştır. Araştırma kapsamında üç karar verici, dört alternatif ve dört kriter (Ekonomi, Kalite, Sosyal ve Çevresel kriterler) kullanılmıştır. Küresel bulanık dilsel ifadelere dayalı toplanan veriler Küresel Ağırlıklı Aritmetik Ortalama (SWAM) operatörü ile birleştirilmiş ve kriterler ağırlıklandırılmıştır. Küresel bulanık sayılara dayalı TOPSIS tekniğiyle alternatifler sıralanmıştır. Araştırma bulgularına göre otel işletmesinin YTS kriter ağırlığı en yüksek kriter kalite kriteri olarak, en düşük kriter sosyal kriter olarak belirlenmiştir. Uygulama sonucunda alternatiflerin sıralaması yapılmış ve üçüncü alternatif en iyi alternatif olarak tespit edilmiştir. Araştırmacılara YTS problem çözümünde bulanık sayılarla çok ölçütlü grup karar verme tekniklerinin uygulanması önerilmiştir.

Kaynakça

  • Abdel-Baset, M., Chang, V., Gamal, A., & Smarandache, F. (2019). An integrated neutrosophic ANP and VIKOR method for achieving sustainable supplier selection: A case study in importing field. Computers in Industry, 106, 94-110. https://doi.org/10.1016/j.compind.2018.12.017
  • Alrasheedi, M., Mardani, A., Mishra, A. R., Rani, P., & Loganathan, N. (2022). An extended framework to evaluate sustainable suppliers in manufacturing companies using a new Pythagorean fuzzy entropy-SWARA-WASPAS decision-making approach. Journal of Enterprise Information Management, 35(2), 333-357. https://doi.org/10.1108/JEIM-07-2020-0263
  • Atanassov, K. T. (1999). Intuitionistic fuzzy sets. In Intuitionistic fuzzy sets (pp. 1-137). Physica, Heidelberg.
  • Aydoğdu, A., & Gül, S. (2020). A novel entropy proposition for spherical fuzzy sets and its application in multiple attribute decision‐making. International Journal of Intelligent Systems, 35(9), 1354-1374. https://doi.org/10.1002/int.22256
  • Bali, O. (2018). A Dynamic MCDM Approach Based on Simplified Neutrosophic Sets for Green Supplier Selection. Journal of Management and Information Science, 6(2), 14-23.
  • Bali, O., Kose, E., & Gumus, S. (2013). Green supplier selection based on IFS and GRA. Grey Systems: Theory and Application, 3(2), 158-176. https://doi.org/10.1108/GS-04-2013-0007
  • Büyüközkan, G., & Çifçi, G. (2012). A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Systems with Applications, 39(3), 3000-3011. https://doi.org/10.1016/j.eswa.2011.08.162
  • Cao, Q., Wu, J., & Liang, C. (2015). An intuitionsitic fuzzy judgement matrix and TOPSIS integrated multi-criteria decision making method for green supplier selection. Journal of Intelligent & Fuzzy Systems, 28(1), 117-126. https://doi.org/10.3233/IFS-141281
  • Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy sets and systems, 114(1), 1-9.
  • Çalık, A. (2021). A novel Pythagorean fuzzy AHP and fuzzy TOPSIS methodology for green supplier selection in the Industry 4.0 era. Soft Computing, 25(3), 2253-2265. https://doi.org/10.1007/s00500-020-05294-9
  • Demir, E., & Koca, G. (2020, July). Green supplier selection using intuitionistic fuzzy AHP and TOPSIS methods: a case study from the paper mills. In International Conference on Intelligent and Fuzzy Systems (pp. 666-673). Springer, Cham.
  • Ghorabaee, M. K., Zavadskas, E. K., Amiri, M., & Esmaeili, A. (2016). Multi-criteria evaluation of green suppliers using an extended WASPAS method with interval type-2 fuzzy sets. Journal of Cleaner Production, 137, 213-229. https://doi.org/10.1016/j.jclepro.2016.07.031
  • Govindan, K., Khodaverdi, R., & Vafadarnikjoo, A. (2015). Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain. Expert Systems with Applications, 42(20), 7207-7220. https://doi.org/10.1016/j.eswa.2015.04.030
  • Göçer, F. (2021). Improving sustainable supplier evaluation by an integrated MCDM method under pythagorean fuzzy environment. Cumhuriyet Science Journal, 42(1), 218-235. http://dx.doi.org/10.17776/csj.735674
  • Gupta, S., Soni, U., & Kumar, G. (2019). Green supplier selection using multi-criterion decision making under fuzzy environment: A case study in automotive industry. Computers & Industrial Engineering, 136, 663-680. https://doi.org/10.1016/j.cie.2019.07.038
  • Islam, S., & Deb, S. C. (2019). Neutrosophic Goal Programming Approach to A Green Supplier Selection Model with Quantity Discount. Neutrosophic Sets and Systems, 30, 98-112. https://digitalrepository.unm.edu/nss_journal/vol30/iss1/7
  • Kaur, P., Dutta, V., Pradhan, B. L., Haldar, S., & Chauhan, S. (2021). A Pythagorean Fuzzy Approach for Sustainable Supplier Selection Using TODIM. Mathematical Problems in Engineering, 2021. https://doi.org/10.1155/2021/4254894
  • Khalilzadeh, M., & Derikvand, H. (2018). A multi-objective supplier selection model for green supply chain network under uncertainty. Journal of Modelling in Management, 13(3), 605-625. https://doi.org/10.1108/JM2-06-2017-0062
  • Kumari, R., & Mishra, A. R. (2020). Multi-criteria COPRAS method based on parametric measures for intuitionistic fuzzy sets: application of green supplier selection. Iranian journal of science and technology, Transactions of Electrical Engineering, 44(4), 1645-1662. https://doi.org/10.1007/s40998-020-00312-w
  • Kutlu Gündoğdu, F., & Kahraman, C. (2019). Spherical fuzzy sets and spherical fuzzy TOPSIS method. Journal of intelligent & fuzzy systems, 36(1), 337-352. https://doi.org/10.3233/jifs-181401
  • Lee, A. H., Kang, H. Y., Hsu, C. F., & Hung, H. C. (2009). A green supplier selection model for high-tech industry. Expert systems with applications, 36(4), 7917-7927. https://doi.org/10.1016/j.eswa.2008.11.052
  • Li, M., & Wu, C. (2015). Green supplier selection based on improved intuitionistic fuzzy TOPSIS model. Metallurgical & Mining Industry, (6).
  • Malviya, R. K., Kant, R., & Gupta, A. D. (2018). Evaluation and selection of sustainable strategy for green supply chain management implementation. Business Strategy and the Environment, 27(4), 475-502. https://doi.org/10.1002/bse.2016
  • Mavi, R. K. (2015). Green supplier selection: a fuzzy AHP and fuzzy ARAS approach. International Journal of Services and Operations Management, 22(2), 165-188. https://doi.org/10.1504/IJSOM.2015.071528
  • Memari, A., Dargi, A., Jokar, M. R. A., Ahmad, R., & Rahim, A. R. A. (2019). Sustainable supplier selection: A multi-criteria intuitionistic fuzzy TOPSIS method. Journal of manufacturing systems, 50, 9-24. https://doi.org/10.1016/j.jmsy.2018.11.002
  • Mohammadi, S. S., Azar, A., Ghatari, A. R., & Alimohammadlou, M. (2022). A model for selecting green suppliers through interval-valued intuitionistic fuzzy multi criteria decision making models. Journal of Management Analytics, 9(1), 60-85. https://doi.org/10.1080/23270012.2021.1881926
  • Nguyen, T. L., Nguyen, P. H., Pham, H. A., Nguyen, T. G., Nguyen, D. T., Tran, T. H., ... & Phung, H. T. (2022). A Novel Integrating Data Envelopment Analysis and Spherical Fuzzy MCDM Approach for Sustainable Supplier Selection in Steel Industry. Mathematics, 10(11), 1897. https://doi.org/10.3390/math10111897
  • Phochanikorn, P., & Tan, C. (2019). A new extension to a multi-criteria decision-making model for sustainable supplier selection under an intuitionistic fuzzy environment. Sustainability, 11(19), 5413. https://doi.org/10.3390/su11195413
  • Qiyas, M., & Abdullah, S. (2022). Decision Support System Based on Spherical 2-tuple Linguistic Fuzzy Aggregation Operators and their Application in Green Supplier Selection. Punjab University Journal of Mathematics, 54(6), 411-428. https://doi.org/10.52280/pujm.2021.540604
  • Remadi, F. D., & Frikha, H. M. (2020, November). The Intuitionistic Fuzzy Set FlowSort methodology for green supplier Evaluation. In 2020 International Conference on Decision Aid Sciences and Application (DASA) (pp. 719-725). IEEE.
  • Rinaldi, M., Caterino, M., Fera, M., Manco, P., & Macchiaroli, R. (2021). Technology selection in green supply chains-the effects of additive and traditional manufacturing. Journal of Cleaner Production, 282, 124554. https://doi.org/10.1016/j.jclepro.2020.124554
  • Rouyendegh, B. D., Yildizbasi, A., & Üstünyer, P. (2020). Intuitionistic fuzzy TOPSIS method for green supplier selection problem. Soft Computing, 24(3), 2215-2228. https://doi.org/10.1007/s00500-019-04054-8
  • Sen, D. K., Datta, S., & Mahapatra, S. S. (2018). Sustainable supplier selection in intuitionistic fuzzy environment: a decision-making perspective. Benchmarking: An International Journal, 25(2), 545-574. https://doi.org/10.1108/BIJ-11-2016-0172
  • Sharaf, I. M., & Khalil, E. A. H. A. (2021). A spherical fuzzy TODIM approach for green occupational health and safety equipment supplier selection. International Journal of Management Science and Engineering Management, 16(1), 1-13. https://doi.org/10.1080/17509653.2020.1788467
  • Sun, Y., & Cai, Y. (2021). A flexible decision-making method for green supplier selection integrating TOPSIS and GRA under the single-valued neutrosophic environment. IEEE Access, 9, 83025-83040. https://doi.org/10.1109/ACCESS.2021.3085772
  • Smarandache, F. (2005). A unifying field in logics: neutrosophic logic. Neutrosophy, neutrosophic set, neutrosophic probability: neutrsophic logic. Neutrosophy, neutrosophic set, neutrosophic probability. Infinite Study.
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  • Tian, Z. P., Zhang, H. Y., Wang, J. Q., & Wang, T. L. (2018). Green supplier selection using improved TOPSIS and best-worst method under intuitionistic fuzzy environment. Informatica, 29(4), 773-800. https://doi.org/10.15388/Informatica.2018.192
  • Tsai, W. H., & Hung, S. J. (2009). A fuzzy goal programming approach for green supply chain optimisation under activity-based costing and performance evaluation with a value-chain structure. International Journal of Production Research, 47(18), 4991-5017. https://doi.org/10.1080/00207540801932498
  • Unal, Y., & Temur, G. T. (2022). Sustainable supplier selection by using spherical fuzzy AHP. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-11. https://doi.org/10.3233/JIFS-219214
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  • Wang, L., Wang, H., Xu, Z., & Ren, Z. (2019). The interval‐valued hesitant Pythagorean fuzzy set and its applications with extended TOPSIS and Choquet integral‐based method. International Journal of Intelligent Systems, 34(6), 1063-1085. https://doi.org/10.1002/int.22086
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  • Yeh, W. C., & Chuang, M. C. (2011). Using multi-objective genetic algorithm for partner selection in green supply chain problems. Expert Systems with applications, 38(4), 4244-4253. https://doi.org/10.1016/j.eswa.2010.09.091
  • Yu, C., Shao, Y., Wang, K., & Zhang, L. (2019). A group decision making sustainable supplier selection approach using extended TOPSIS under interval-valued Pythagorean fuzzy environment. Expert Systems with Applications, 121, 1-17. https://doi.org/10.1016/j.eswa.2018.12.010
  • Yücesan, M. (2019). Green Supplier selection for plastic industry using integrated model based on Pythagorean fuzzy AHP and fuzzy TOPSIS. İşletme Araştırmaları Dergisi, 11(1), 26-41. https://doi.org/10.20491/isarder.2019.579
  • Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353.
  • Zeng, S., Hu, Y., Balezentis, T., & Streimikiene, D. (2020). A multi‐criteria sustainable supplier selection framework based on neutrosophic fuzzy data and entropy weighting. Sustainable Development, 28(5), 1431-1440. https://doi.org/10.1002/sd.2096
  • Zhang, H., Wei, G., & Chen, X. (2021). CPT-MABAC method for spherical fuzzy multiple attribute group decision making and its application to green supplier selection. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-11. https://doi.org/10.3233/JIFS-202954
  • Zhang, X., & Xu, Z. (2014). Extension of TOPSIS to multiple criteria decision making with Pythagorean fuzzy sets. International Journal of Intelligent Systems, 29(12), 1061-1078. https://doi.org/10.1002/int.21676
  • Zhao, M., Wei, G., Wei, C., & Wu, J. (2021). TODIM method for interval-valued Pythagorean fuzzy MAGDM based on cumulative prospect theory and its application to green supplier selection. Arabian Journal for Science and Engineering, 46(2), 1899-1910. https://doi.org/10.1007/s13369-020-05063-8
  • Zhou, F., & Chen, T. Y. (2020). An integrated multicriteria group decision-making approach for green supplier selection under Pythagorean fuzzy scenarios. Ieee Access, 8, 165216-165231. https://doi.org/10.1109/ACCESS.2020.3022377
Toplam 61 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

Karahan Kara 0000-0002-1359-0244

Galip Cihan Yalçın 0000-0001-9348-0709

Yayımlanma Tarihi 31 Aralık 2022
Gönderilme Tarihi 10 Ekim 2022
Yayımlandığı Sayı Yıl 2022

Kaynak Göster

APA Kara, K., & Yalçın, G. C. (2022). Küresel Bulanık Sayılara Dayalı TOPSIS Tekniğiyle Yeşil Tedarikçi Seçimi. Karadeniz Sosyal Bilimler Dergisi, 14(27), 483-506. https://doi.org/10.38155/ksbd.1187057