ÇEVRESEL ATIK KRİTERİ TEMELLİ TEDARİKÇİ SEÇİM PROBLEMİ

Tedarik zincirinin çevresel sürdürülebilirliği tedarik zinciri üyelerinin stratejilerine bağlıdır. İlk modeller maliyet, varış zamanı, kalite, karbon emisyonu gibi unsurlar üzerinde durmuştu ancak çevresel atık konusuna gereken önem verilmemişti. Son zamanlarda tedarik zincirlerinin çevresel kirliliği azaltma ile ilgili çalışmalar artmaktadır. Bu makalede Entropi ve Bulanık çok amaçlı doğrusal programlama kullanarak çevresel atık problemine değinilmektedir. Burada ele alınan faktörler şunlardır: maliyet, geri dönüşlerin yüzdesi, kimyasal atık oranı, talep, teslimatın gecikme yüzdesi. Bu çalışma, entropi ve bulanık çok amaçlı doğrusal programlama yöntemini kullanarak çevresel atık sorununu ele alan tedarik zincirinde uygun tedarikçiyi seçmek için entegre bir yaklaşım sunmaktadır. Entropi, bir çok faktörün ağırlığını analiz etmek için önce uygulanır. Birden fazla faktörün bu ağırlıkları tedarikçi seçimi ve kota dağıtımı için bulanık çok amaçlı doğrusal programlamada kullanılır. Önerilen modelin etkililiğini göstermek için bir gerçek hayat problemi ele alınmıştır. Model çözümünün sonucuna göre her bir tedarikçiden belirlenen miktarlarda ürün alımı optimal sonucu vermiştir

Anahtar Kelimeler:

Çevreci tedarikçi seçimi, Entropi, Bulanık çok amaçlı doğrusal programlama

ENVIRONMENTAL WASTE CRITERION-BASED SUPPLIER SELECTION PROBLEM

The environmental sustainability of the supply chain depends on the strategies of its supply chain members. The first models focused on factors such as cost, time of arrival, quality, and carbon emissions, but no consideration was given to environmental waste. Recently, efforts to reduce environmental pollution of supply chains have been increasing. In this study, the environmental waste problem is addressed using Entropy and Fuzzy multi-objective linear programming. The factors discussed here are: cost, percentage of returns, chemical waste rate, demand, percentage of delivery delay. This study presents an integrated approach to selecting the appropriate supplier in the supply chain that addresses the environmental waste problem using entropy and fuzzy multi-objective linear programming. Entropy is first applied to analyze the weight of many factors. These weights of multiple factors are used in fuzzy multi-objective linear programming for supplier selection and quota distribution. A real life problem is addressed to demonstrate the effectiveness of the proposed model. According to the result of the model solution, the purchase of the products in the determined quantities from each supplier was the optimal result

Keywords:

Environmental supplier selection, Entropy, Fuzzy multi-objective linear programming,

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