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Green Supplier Selection with TOPSIS Technique Based on Spherical Fuzzy Numbers

Year 2022, Volume: 14 Issue: 27, 483 - 506, 31.12.2022
https://doi.org/10.38155/ksbd.1187057

Abstract

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.

References

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Küresel Bulanık Sayılara Dayalı TOPSIS Tekniğiyle Yeşil Tedarikçi Seçimi

Year 2022, Volume: 14 Issue: 27, 483 - 506, 31.12.2022
https://doi.org/10.38155/ksbd.1187057

Abstract

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.

References

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  • 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
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  • 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
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Details

Primary Language Turkish
Journal Section Articles
Authors

Karahan Kara 0000-0002-1359-0244

Galip Cihan Yalçın 0000-0001-9348-0709

Early Pub Date October 22, 2022
Publication Date December 31, 2022
Submission Date October 10, 2022
Published in Issue Year 2022 Volume: 14 Issue: 27

Cite

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