Bulanık Uzman Sistem Yaklaşımı ile Yeşil Tedarikçi Değerlendirmesi

Yıl 2024, Cilt: 13 Sayı: 1, 40 - 46, 26.03.2024

Çağatay Teke

https://doi.org/10.46810/tdfd.1350936

Öz

Günümüzde küresel ölçekte artan kirlilik ve sınırlı hammadde kaynakları gibi nedenler, yeşil tedarik zinciri yönetimine (YTZY) olan ilgiyi artırmaktadır. YTZY, bir ürünün üretim sürecinin en başından başlayarak, üretiminin tamamlanması, ürünün müşteriye teslim edilmesi ve kullanım ömrü sonunda ürünün geri dönüştürülmesine kadar olan süreçleri kapsamaktadır. Temel amacı, tüm bu süreçlerde çevreye verilen zararları ortadan kaldırmak veya en aza indirmektir. Bu hedefe ulaşmak için üretim sürecinin en önemli bileşenlerinden biri olan tedarikçilerin yeşil tedarikçi olma açısından değerlendirilmesi büyük önem taşımaktadır.
Bu çalışmada, yeşil üretim teknolojisi, çevre yönetim sistemi, kirlilik kontrolü, ürün maliyeti, kalite ve teslim süresi kriterlerine dayalı olarak yeşil tedarikçilerin değerlendirilmesi için bulanık bir uzman sistem modeli geliştirilmiştir. Geliştirilen modelin performansını ölçmek için Ortalama Karesel Hata (MSE) ve belirlilik katsayısı (R2) hesaplanmıştır. Hesaplanan bu değerler, geliştirilen modelin yeşil tedarikçi değerlendirme performansının oldukça yüksek olduğunu göstermektedir.

Anahtar Kelimeler

Bulanık uzman sistem, yeşil tedarikçi, yeşil tedarikçi değerlendirmesi, yeşil tedarik zinciri yönetimi

Green Supplier Assessment with Fuzzy Expert System Approach

Öz

Today, reasons such as increasing pollution on a global extent and limited raw material resources are increasing the interest in green supply chain management (GSCM). GSCM includes the processes starting from the very beginning of the production process of a product, completing the production, delivering the product to the customer, and recycling the product at the end of its useful life. Its main purpose is to eliminate or minimize the damages caused to the environment in all of these processes. In order to achieve this goal, it has great importance to assess the suppliers, which are one of the most important components of the production process, in terms of becoming a green supplier.

In this study, a fuzzy expert system model has been developed to assess the green suppliers based on green production technology, environmental management system, pollution control, product cost, quality, and lead time criteria. Mean Square Error (MSE) and coefficient of determination (R2) have been calculated to measure the performance of the developed model. These calculated values show that the green supplier assessment performance of the developed model is quite high.

Anahtar Kelimeler

Fuzzy expert system, green supplier, green supplier assessment, green supply chain management

Kaynakça

• Smith AD. Exploring strategic partnering in supply chain management: case study of successful practices. In: Mamun Habib MD, editor. Supply chain management: practices, applications and challenges. New York: Nova Science Publishers; 2016.
• Sarkis J. Green supply chain management. New York: ASME Press and Momentum Press; 2014.
• Bhattacharjee K. Green supply chain management- challenges and opportunities. Asian Journal of Technology & Management Research. 2015;5(1):14-19.
• Khan SAR. Introduction of green supply chain management. In: Khan SAR, editor. Green practices and strategies in supply chain management. Intech Open; 2019.
• Mendoza-Fong JR, García-Alcaraz JL, Ochoa-Domínguez HDJ, Cortes-Robles G. Green production attributes and its impact in company’s sustainability. In: García-Alcaraz JL, Alor-Hernández G, Maldonado-Macías AA, Sánchez-Ramírez C, editors. New perspectives on applied industrial tools and techniques. 1st ed. Springer Cham; 2018. p. 23-46.
• Daldır I, Tosun Ö. Green supplier selection using fuzzy WASPAS. Uludağ University Journal of The Faculty of Engineering. 2018;23(4):193-208.
• Denizhan B, Yılmaz Yalçıner A, Berber Ş. An application of green supplier selection using analytic hierarchy process and fuzzy analytic hierarchy process methods. Nevsehir Journal of Science and Technology. 2017;6(1):63-78.
• Çınar A. Uygun Ö. Selecting green supplier using intuitionistic fuzzy AHP. Journal of Intelligent Systems: Theory and Applications. 2019;2(2):24-31.
• Şişman B. Evaluating and selection of green supplier development programs by using fuzzy MOORA. Journal of Yasar University. 2016;11(44):302-15.
• Çalık A. Green supplier selection with fuzzy multi-objective linear programming and interval type-2 fuzzy AHP method. The Journal of Selcuk University Social Sciences Institute. 2018;39:96-109.
• Akın N. Generalized trapezoidal fuzzy soft set: application to green supplier selection problem. Afyon Kocatepe University Journal of Social Sciences. 2021;23(1):158-71.
• Erbıyık H, Alkan Kabakçı G, Erdil A. Supplier selection in the automotive sector with the electre method: an application for green supplier selection. European Journal of Science and Technology. 2021;(24):421-29.
• Soyer A, Türkay A. Green purchasing and green supplier selection: an application in the white goods sector. Journal of Engineering Sciences and Design. 2020;8(4):1202–22.
• Yerlikaya M, Efe B, Efe Ö. Environmental waste criterion-based supplier selection problem. The International New Issues in Social Sciences. 2017;5(5):311-22.
• Çalık A. Green supplier selection using group decision making methods: a case study from the food industry. The International Journal of Economic and Social Research. 2021;17(1):1-16.
• Madenoğlu F. Green supplier selection in fuzzy multi criteria decision making environment. Business and Management Studies: An International Journal. 2019;7(4): 1850-69.
• Madenoğlu F. Green supplier selection in fuzzy multi criteria decision making environment. Business and Management Studies: An International Journal. 2019;7(4): 1850-69.
• Hashemi SH, Karimi A, Tavana M. An integrated green supplier selection approach with analytic network process and improved grey relational analysis. Int. J. Prod. Econ. 2015;159:178-91.
• Bali O, Kose E, Gumus S. Green supplier selection based on IFS and GRA. Grey Systems: Theory and Application. 2013;3(2):158-76.
• Yu Q, Hou F. An approach for green supplier selection in the automobile manufacturing industry. Kybernetes. 2016;45(4):571-88.
• Freeman J, Chen T. Green supplier selection using an AHP-Entropy-TOPSIS framework. Supply Chain Manag. 2015;20(3):327-40.
• Agarwal G, Vijayvargy L. (2012). Green supplier assessment in environmentally responsive supply chains through analytical network process. International MultiConference of Engineers and Computer Scientists, IMECS 2012. Hong Kong: 2012. p. 1218-23.
• Foroozesh N, Tavakkoli-Moghaddam R. Assessment of green supplier development programs by a new group decision-making model considering possibilistic statistical uncertainty. Journal of Quality Engineering and Production Optimization. 2018;3(2):1-10.
• Li L, Wang H. A green supplier assessment method for manufacturing enterprises based on rough ANP and evidence theory. Information. 2018;9(7):162.
• Mahdavinia R. Green supplier assessment using fuzzy hierarchical technique at pars khodro company in Iran. 3rd International Conference on Management, Industrial Engineering, Economics and Accounting. Sofia: 2003. p. 1-15.
• Mishra A, Rani P, Pardasani K, Mardani A. A novel hesitant fuzzy WASPAS method for assessment of green supplier problem based on exponential information measures. J. Clean. Prod. 2019;238:117901.
• Özkan, M. An application for individual employee performance evaluation by fuzzy inference system. Cumhuriyet University Journal of Economics and Administrative Sciences. 2018;19(2):372-88.