Green Supplier Assessment with Fuzzy Expert System Approach

Çağatay Teke

Makale detayları

Green Supplier Assessment with Fuzzy Expert System Approach

Yazarlar:

Çağatay Teke

Yayıncı:

Bingol University

Ana Başlıklar:

Karar Desteği ve Grup Destek Sistemleri

Dergi:

Türk Doğa ve Fen Dergisi Vol.13 Issue 1, pp.40-46

Belge Tipi:

Makale

Yayın Tarihi:

3/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001314169

pISSN:

2149-6366

Anahtar kelimeler:

Özet:

 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.

 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.

 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.

 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.

Makale detayları

Green Supplier Assessment with Fuzzy Expert System Approach

Yazarlar:

Çağatay Teke

Yayıncı:

Bingol University

Ana Başlıklar:

Karar Desteği ve Grup Destek Sistemleri

Dergi:

Türk Doğa ve Fen Dergisi Vol.13 Issue 1, pp.40-46

Belge Tipi:

Makale

Yayın Tarihi:

3/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001314169

pISSN:

2149-6366

Fuzzy expert system

green supplier

green supplier assessment

green supply chain managementBulanık uzman sistem

yeşil tedarikçi

yeşil tedarikçi değerlendirmesi

yeşil tedarik zinciri yönetimi

Sayı

Makale detayları

Yazarlar: Çağatay Teke

Yayıncı: Bingol University

Ana Başlıklar: Karar Desteği ve Grup Destek Sistemleri

Dergi: Türk Doğa ve Fen Dergisi Vol.13 Issue 1, pp.40-46

Belge Tipi: Makale

Yayın Tarihi: 3/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001314169

pISSN: 2149-6366

Sayı

Yazarlar:

Çağatay Teke

Yayıncı:

Bingol University

Ana Başlıklar:

Karar Desteği ve Grup Destek Sistemleri

Dergi:

Türk Doğa ve Fen Dergisi Vol.13 Issue 1, pp.40-46

Belge Tipi:

Makale

Yayın Tarihi:

3/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001314169

pISSN:

2149-6366