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Bütünleşik çok kriterli karar verme teknikleri ile yeşil tedarikçi seçimi

Yıl 2022, Cilt: 11 Sayı: 1, 42 - 61, 30.06.2022
https://doi.org/10.47934/tife.11.01.04

Öz

Önemi son yıllarda daha da artan Yeşil Tedarik Zinciri Yönetimi (YTZY) kavramı, tüm faaliyetlerinde çevresel etkileri ön planda tutan bir tedarik zinciri olarak ele alınmaktadır. Günümüzde işletmeler sadece ekonomik performansları açısından değil aynı zamanda YTZY’yi önemli kılan çevresel performansları açısından da dikkate alınmaktadır. Ancak YTZY, tedarikçilerin katılımı olmadan gerçekleştirilemez. Bu nedenle tedarikçilerinin doğru belirlenmesi, daha iyi bir YTZY performansının geliştirilmesinde hayati önem taşımaktadır. YTZY literatüründe birçok sektörde çok sayıda araştırma bulunurken, çevreye etkisi büyük olan kimya sektörünün boya alt alanındaki araştırmalar sınırlıdır. Tedarikçi seçimi çalışmalarında Çok Kriterli Karar Verme (ÇKKV) tekniklerinin sıklıkla kullanıldığı, ancak farklı yaklaşımların sonuçlarının karşılaştırıldığı ve bütünleştirildiği az sayıda çalışma olduğu görülmektedir. Bu araştırmada, farklı ÇKKV teknikleri kullanılarak yeşil tedarikçi seçimi yapılmakta ve sonuçlar karşılaştırılarak bir araya getirilmektedir. Çalışmada, her biri ANP ile entegre olan MOORA-Oran Yöntemi, MOORA-Referans Noktası Yaklaşımı, GRA ve COPRAS yöntemleri ile kimya endüstrisinin boya alt dalında yeşil tedarikçi seçimi gerçekleştirilmiştir. Daha sonra genel bir sıralama elde etmek için COPELAND yöntemi kullanılmıştır. Bu çalışma uygulanan sektör açısından özgün bir model önermekte ve ÇKKV yöntem sonuçlarını entegre ederek literatüre katkı sağlamaktadır. Çalışmada öne sürülen model, yeşil tedarikçi seçim modelinin oluşturulmasında karar vericilere yardımcı olabilir.

Kaynakça

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Green supplier selection with integrated multi-criteria decision making techniques

Yıl 2022, Cilt: 11 Sayı: 1, 42 - 61, 30.06.2022
https://doi.org/10.47934/tife.11.01.04

Öz

The concept of Green Supply Chain Management (GSCM), whose importance has increased in recent years, is considered as a supply chain that prioritizes environmental impacts in all its activities. Nowadays, businesses are considered not only in terms of their economic performance, but also in terms of their environmental performance which makes GSCM important. However, GSCM cannot be conducted without the participation of the suppliers. Due to this fact, correct determination of their suppliers has vital importance in developing a better GSCM performance. While there is a plenty of research in many sectors in GSCM literature, the research in the paint subfield of the chemical sector, which has a great environmental impact, is limited. It is seen that Multi-Criteria Decision Making (MCDM) techniques are frequently used in supplier selection studies, however, there are few studies where the results of different approaches are compared and integrated. In this research, green supplier selection is conducted using different MCDM technics, and the results are compared and combined. In the study, green supplier selection was carried out in the paint sub-branch of the chemical industry with the MOORA-Ratio Method, MOORA-Reference Point Approach, GRA and COPRAS methods, each of which is integrated with the ANP Then, the COPELAND method was used to obtain a general ranking. This research contributes to the literature by proposing a unique model in terms of the applied sector and integrating MCDM method results. The model proposed in this study can help the decision makers in order to build a green supplier selection model.

Kaynakça

  • Alizadeh, A., and Yousefi, S. (2019). An integrated taguchi loss function–fuzzy cognitive map –mcgp with utility function approach for supplier selection problem. Neural Computing and Applications, 31(11), 7595-7614.
  • Alkahtani, M. and Kaid, H. (2018). Supplier selection in supply chain management: A review study. International Journal of Business Performance and Supply Chain Modelling, 10(2), 107–130.
  • Azadi, M., Jafarian, M., Saen, R. F. and Mirhedayatian, S. M. (2015). A new fuzzy DEA model for evaluation of efficiency and effectiveness of suppliers in sustainable supply chain management context. Computers and Operations Research, 54, 274–285.
  • Badi, I. and Ballem, M. (2018). Supplier selection using the rough BWM-MAIRCA model: A case study in pharmaceutical supplying in Libya. Decision making: Applications in Management and Engineering, 1(2), 16-33.
  • Bali, Ö., Köse, E. and Gümüş, S. (2013). Green supplier selection based on IFS and GRA. Grey Systems: Theory and Application, 3(2), 158-176.
  • 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 and Operations Research 89, 337–347.
  • Baskaran, V., Nachiappan, S. and Rahman, S. (2012). Indian textile suppliers’ sustainability evaluation using the grey approach. International Journal of Production Economics, 135, 647–658.
  • Bin, L. and Hong-Jun, L. (2010). Research on supplier assessment indices system of green purchasing. International Conference on Measuring Technology and Mechatronics Automation, 314-317.
  • Boran, F. E., Genç, S., Kurt, M., ve 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.
  • Brauers, W. K. M., Ginevičius, R. and Podvezko, V. (2010). Regional development in Lithuania considering multiple objectives by the MOORA method. Technological and Economic Development of Economy, 16(4), 613-640.
  • Brauers, W. K. M. and Zavadskas, E. K. (2012). Robustness of MULTIMOORA: A method for multi-objective optimization. Informatica, 23(1), 1–25.
  • Brauers, W. K. M., Zavadskas, E. K. and Ginevicius, R. (2015). Multi-objective decision making in macro and microeconomics with application of the MULTIMOORA method. International Journal Applied Nonlinear Science, 2(1/2), 75–99.
  • Büyüközkan, G., Çifçi, G. ve Güleryüz, S. (2011). Strategic analysis of healthcare service quality using fuzzy AHP methodology. Expert Systems with Applications, 38(8), 9407-9424.
  • Büyüközkan, G., ve 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.
  • Caillaux, M. A. (2011). Container logistics in Mercosur: Choice of a transhipment port using the ordinal COPELAND method, data envelopment analysis and probabilistic composition. Maritime Economics and Logistics, 13, 355–370.
  • Cavinato, J. L., Flynn, A., and Kauffman, R. (2006), The supply management handbook, New York: McGraw-Hill, pp. 643–675.
  • Chand, M., Bhatia, N. and Singh, R. K. (2016). ANP-MOORA-based approach for the analysis of selected issues of green supply chain management. An International Journal, 25(2), 642-659.
  • Chen, C. C., Tseng, M. L., Lin, Y. H. and Lin, Z. S. (2010). Implementation of green supply chain management in uncertainty. International Conference on Industrial Engineering and Engineering Management, Macao, December, 7–10.
  • Chiou, C. Y., Hsu, C. W. and Hwang, W. Y. (2008). Comparative investigation on green supplier selection of the American, Japanese and Taiwanese electronics industry in China. International Conference On IE&EM, IEEE, 8(11), 1909-1914.
  • Chiou, T. Y., Chan, H. K., Lettice, F., and Chung, S. H. (2011). The influence of greening the suppliers and green innovation on environmental performance and competitive advantage in Taiwan. Transportation Research Part E: Logistics and Transportation Review, 47(6), 822-836.
  • Cristea, C. and Cristea, M. (2017). A multi-criteria decision-making approach for supplier selection in the flexible packaging industry. MATEC Web of Conferences 94, EDP Sciences.
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  • Özdemir, Y., Tüysüz, S. ve Başlıgil, H. (2016). Nükleer enerji santralleri için AHP ve ANP yöntemi kullanılarak risklerin ağirliklandirilması. Sigma Journal of Engineering and Natural Sciences, 7(2), 207-217.
  • Öztürk, B. A. ve Özçelik, F. (2014). Üçlü kar payına dayali bulanik çok kriterli karar verme yöntemiyle sürdürülebilir tedarikçi seçimi. İşletme ve Ekonomi Araştırma Dergisi, 5(3), 129.
  • Öztürk, H., Pekel, E. ve Elevli, B. (2018). Using ANP and ELECTRE methods for supplier selection: Cable industry application. Journal of Science, 22(5), 1190-1198.
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  • Yu, Q. and Hou, F. (2016). An Approach for green supplier selection in the automobile manufacturing industry. Kybernetes, 45(4), 571-588.
  • Zhao, H. and Guo, S. (2014). Selecting green supplier of thermal power equipment by using a hybrid MCDM method for sustainability. Sustainability, 6, 217-235.
Toplam 96 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Araştırma Makaleleri
Yazarlar

Yasin Mercan 0000-0002-4722-0794

Onur Çetin 0000-0003-1835-3333

Erken Görünüm Tarihi 24 Haziran 2022
Yayımlanma Tarihi 30 Haziran 2022
Gönderilme Tarihi 12 Nisan 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 11 Sayı: 1

Kaynak Göster

APA Mercan, Y., & Çetin, O. (2022). Green supplier selection with integrated multi-criteria decision making techniques. Trakya Üniversitesi İktisadi Ve İdari Bilimler Fakültesi E-Dergi, 11(1), 42-61. https://doi.org/10.47934/tife.11.01.04

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