Determining the Green Supplier Selection Criteria in Textile Enterprises and Selecting the Most Ideal Distribution Model: A Case Study of Gi̇resun

Yıl 2021, Cilt: 9 Sayı: 2, 311 - 324, 31.12.2021

Çağlar Karamaşa Selçuk Korucuk Mustafa Ergün

https://doi.org/10.17093/alphanumeric.1052033

Cited By: 2

Öz

Supplier selection is an important process that needs to be emphasized if customer satisfaction and operating efficiency are to be attained. Businesses also need to take into account environmental sustainability as part of the criteria when selecting their suppliers. This is in line with the need for enterprises to prioritize ecological conditions in their supply chain components such as production, distribution, and storage. On top of the supplier selection problem, another component of the chain that has an impact on the performance and efficiency of the enterprise, especially due to the accompanying costs, and which needs to be given much consideration is the distribution. This study aims to determine the significance levels of the factors that need to be taken into account when determining the criteria to be used in the selection of a green supplier and an ideal distribution model for the company. The study the SAW method to determine the significance levels of the factors and the ROV method to obtain the ideal distribution model. The results revealed that the most important factors were "quality", "green elements" and "service" while the least important factors were found to be "delivery" and "technical elements", respectively. The most ideal distribution model was the "Feeding Flight Model".

Anahtar Kelimeler

Green Supplier Selection, Distribution Model, MCDM, SAW, ROV

Kaynakça

• Andrea Genovese, S.C. Lenny Koh, Guiseppe Bruno, Paolo Bruno, “Green Supplier Selection: a literature Review and Critical Perspective”, 8th International Conference on Supply Chain Management and Information, 2010.
• Banaeian, N., Mobli, H., Fahimnia, B., Nielsen, I. E., & Omid, M. (2018). Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry. Computers & Operations Research, 89, 337-347.
• Coşkun , S, & Bozyiğit S, (2019), “YEŞİL TEDARİK ZİNCİRİ UYGULAMALARI ÜZERİNE KİMYA SEKTÖRÜNDE BİR ALAN ARAŞTIRMASI”, Dokuz Eylül University, Journal of the Institute of Social Sciences, 21/2, 605-637.
• Denizhan, B, Yalçıner, Y, A, & Berber, Ş, (2017),” Analitik Hiyerarşi Proses ve Bulanık Analitik Hiyerarşi Proses Yöntemleri Kullanılarak Yeşil Tedarikçi Seçimi Uygulaması”, Nevsehir Journal of Science and Technology Volume 6(1) 63-78.
• Dobos, I., & Vörösmarty, G. (2014). Green supplier selection and evaluation using DEA-type composite indicators. International Journal of Production Economics, 157, 273-278.
• Goetschalckx, M, (2008), Distrubition System Design, Editor: G. Don Taylor, Logistics Engineering Handbook, CRC Press Taylor & Francis Group, New York.
• Govindan, K., Rajendran, S., Sarkis, J., and Murugesan, P. (2015). Multi criteria decision making approaches for green supplier evaluation and selection: a literature review. Journal of Cleaner Production, 98, 66-83.
• Görçün, Ö. F., (2013), Örnek Olay ve Uygulamalarla Tedarik Zinciri Yönetimi, 2. Baskı, Beta Basım Yayın Dağıtım, İstanbul.
• Hajkowicz, S, & Higgins, A, (2008), Decision Support, A comparison of multiple criteria analysis techniques for water resource management, European Journal of Operational Research 184 (2008) 255–265.
• Hashemi, S. H., Karimi, A., & Tavana, M. (2015). An integrated green supplier selection approach with analytic network process and improved Grey relational analysis. International Journal of Production Economics, 159, 178-191.
• Hsu, C. W., Kuo, T. C., Chen, S. H., & Hu, A. H. (2013). Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management. Journal of cleaner production, 56, 164-172.
• Humphreys, P. K., Wong, Y. K., & Chan, F. T. S. (2003). Integrating environmental criteria into the supplier selection process. Journal of Materials processing technology, 138(1-3), 349-356.
• JANIC, M. & Reggiani, A. (2002). An Application of the Multiple Criteria Decision Making (MCDM) Analysis to the Selection of a New Hub Airport, European Journal of Transport and Infrastructure Research, 2(2), 2002, s.113-141.
• Kannan, D., Govindan, K., & Rajendran, S. (2015). Fuzzy Axiomatic Design approach based green supplier selection: a case study from Singapore. Journal of Cleaner Production, 96, 194-208.
• Karaköy, Ç. & Ulutaş A, (2019). “CRITIC ve ROV Yöntemleri ile Bir Kargo Firmasının 2011-2017 Yılları Sırasındaki Performansının Analiz Edilmesi”, Manas Sosyal Araştırmalar Dergisi, 8(1): 223-230.
• Korucuk, S. (2018). Yeşil Lojistik Uygulamalarının Rekabet Gücü Ve Hastane Performansına Etkisinin Lojistik Regresyon Analizi İle Belirlenmesi: Ankara İli Örneği . Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi, 19 (1) , 280-299.
• Korucuk, S, & Memiş M, (2019). Yeşil Liman Uygulamaları Performans Kriterlerinin Dematel Yöntemi ile Önceliklendirilmesi: İstanbul Örneği, Avrasya Uluslararası Araştırmalar Dergisi, 7(16), 134 – 148.
• Korucuk, S, (2021). Ordu Ve Giresun İllerinde Kentsel Lojistik Performans Unsurlarına Yönelik Karşılaştırmalı Bir Analiz, Dicle Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Yıl: 13, Sayı:26, ss. 141-155.
• Kuo, R. J., Wang, Y. C., & Tien, F. C. (2010). Integration of artificial neural network and MADA methods for green supplier selection. Journal of cleaner production, 18(12), 1161-1170.
• 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.
• Liu, P. ve Zhang, X. (2011). Research On The Supplier Selection Of A Supply Chain Based On Entropy Weight and Improved ELECTRE-III Method, International Journal Of Production Research, 49(3), 637-646
• Nielsen, I.E., Banaeian, N., Golinska, P., Mobli, H., Omid, M., “Green Supplier Selection Criteria: From a Literature Review to a Flexible Framework for Determination of Suitable Criteria”, Springer International Publishing, 2014.
• Qin, J., Liu, X., & Pedrycz, W. (2017). An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment. European Journal of Operational Research, 258(2), 626-638.
• Savitha, K. & Chandrasekar, C. (2011). Trusted Network Selection using SAW and TOPSIS Algorithms for Heterogeneous Wireless Networks, International Journal of Computer Applications, 26(8), 22-29.
• Tuzkaya, U.R. (2009). Evaluating the environmental effects of transportation modes using an integrated methodology and an application. International Journal of Environmental Science and Technology, 6 (2), 277-290.
• Ulutaş, A, (2018), Entropi Temelli ROV Yöntemi İle Esnek Üretim Sistemi Seçimi, Business and Economics Research Journal, Volume 9 Number 1, 187-194.
• Watrobski J. & Salabun, W. (2016). Green Supplier Selection Framework Based on Multi-Criteria Decision-Analysis Approach, Sustainable Design and Manufacturing 2016, 361-371.
• Yazdani, M., Chatterjee, P., Zavadskas, E. K., & Zolfani, S. H. (2017). Integrated QFD-MCDM framework for green supplier selection. Journal of Cleaner Production, 142, 3728-3740.
• Yakowitz, D. S., Lane, L. J., & Szidarovszky, F. (1993). Multi-attribute decision making: dominance with respect to an importance order of the attributes. Applied Mathematics and Computation, 54(2-3), 167-181.
• Zylstra, Kırk, D, (2006), Lean Distrubition Applying Lean Manufacturing to Distrubition Logistics, And Supply Chain, John Wiley & Sons Press, New Jersey.