Journals / Trakya Üniversitesi İktisadi ve İdari Bilimler Fakültesi e-Dergi / 2022 / Cilt: 11 - Sayı: 1

Green supplier selection with integrated multi-criteria decision making techniques

Bütünleşik çok kriterli karar verme teknikleri ile yeşil tedarikçi seçimi

Pages
42–61
Publication Date
2022-10-19
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The model proposed in this study can help the decision makers in order to build a green supplier selection model.

📌 3 Key Takeaways

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Objective & Hypothesis: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.
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Key Findings & Data:Nowadays, businesses are considered not only in terms of their economic performance, but also in terms of their environmental performance which makes GSCM important.
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Conclusion & Impact:The model proposed in this study can help the decision makers in order to build a green supplier selection model.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Yeşil Tedarik Zinciri Yönetimi (YTZY) · ÇKKV · COPELAND

Abstract

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.

Özet

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.

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Cite This Article

MERCAN, Y., ÇETİN, O. (2022). Green supplier selection with integrated multi-criteria decision making techniques. Trakya Üniversitesi İktisadi ve İdari Bilimler Fakültesi e-Dergi, Cilt: 11 - Sayı: 1, 42–61. https://ajindex.com/articles/598646

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References (13)

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. Brauers, W. K. M. and Zavadskas, E. K. (2012). Robustness of MULTIMOORA: A method for multi-objective optimization. Informatica, 23(1), 1–25.
  12. 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.
  13. Büyüközkan, G., Çifçi, G. ve Güleryüz, S. (2011). Strategic analysis of healthcare service