Sustainable Supplier Selection with a Circular Economy Focus Using a Hybrid BWM-MARCOS Approach: Multi-Scenario Optimization Analysis in the Textile Industry

Abstract

In sustainable supplier selection, the integration of circular economy principles remains limited, and comprehensive methodological models are rarely used. This study addresses that gap by examining supplier selection in the textile industry through a circular economy lens, enhancing strategic decision-making. A hybrid multi-criteria decision-making (MCDM) model combining the Best-Worst Method (BWM) and the MARCOS method is proposed. Applied to real data from a medium-sized textile firm in Türkiye, the model evaluates supplier performance across three scenarios: cost-oriented, balanced, and circular economy-oriented. Mathematical programming incorporates operational constraints, ensuring practical outcomes. Results show that raising the weight of circular economy criteria from 4.5% to 39.7% increases total cost by just 7.77%, while improving capacity utilization by 12.2% and reducing the number of suppliers by 25%. The proposed scenario framework offers a roadmap for firms moving toward sustainability. A balanced approach is recommended in the short term, with increased circularity and optimized supplier portfolios prioritized in the medium term. Long-term goals should focus on a full transition to circularity. Owing to the consistency of BWM and the stable, reliable rankings produced by MARCOS, the proposed scalable model can be adapted to manufacturing sectors with comparable supply structures and material flows, although its cross-sectoral validity warrants further investigation.

Keywords

• Sustainable Supplier Selection
• Best-Worst Method (BWM)
• MARCOS Method
• Textile Supply Chain
• Scenario Analysis

Hibrit BWM-MARCOS Yaklaşımı ile Döngüsel Ekonomi Odaklı Sürdürülebilir Tedarikçi Seçimi: Tekstil Endüstrisinde Çok Senaryolu Optimizasyon Analizi

Abstract

Sürdürülebilir tedarikçi seçimi süreçlerinde, döngüsel ekonomi ilkelerinin sistematik biçimde entegre edilmediği ve bütünleşik yöntemsel modellere sınırlı düzeyde yer verildiği gözlemlenmektedir. Bu çalışma, bu boşluğu gidermeyi hedefleyerek tekstil endüstrisinde sürdürülebilir tedarikçi seçimini döngüsel ekonomi perspektifiyle ele almakta ve karar destek sürecine alternatifler sunmaktadır. Bu amaçla, En İyi-En Kötü Yöntem (BWM) ve MARCOS yöntemini birleştiren hibrit birçok kriterli karar verme (ÇKKV) modeli geliştirilmiştir. Model, Türkiye’de faaliyet gösteren orta ölçekli bir tekstil firmasında uygulanmış, maliyet odaklı, dengeli ve döngüsel ekonomi odaklı olmak üzere üç senaryo çerçevesinde analiz gerçekleştirilmiştir. Matematiksel programlama uygulaması sayesinde operasyonel sınırlamalar dikkate alınarak gerçekçi ve uygulanabilir kararlar elde edilmiştir. Bulgular, döngüsel ekonomi kriter ağırlığının %4,5’ten %39,7’ye çıkarılmasının toplam maliyette yalnızca %7,77’lik bir artışa yol açtığını, ancak %12,2 kapasite kullanım iyileştirmesi ve %25 tedarikçi sayısı optimizasyonu sağladığını göstermektedir. Çalışmada uygulanan sistematik senaryo farklılaştırması, işletmelerin sürdürülebilirlik geçişinde izleyebileceği pratik bir yol haritası sunmaktadır. İlk aşamada dengeli bir yaklaşım benimsemek, orta vadede kısıtlamaları artırmak ve uzun vadede tam döngüsel yapıya geçmek, stratejik geçiş için önerilmektedir. Geliştirilen esnek ve ölçeklenebilir hibrit model, benzer tedarik yapısına ve malzeme akışına sahip imalat sektörlerine de uyarlanabilecek bir çerçeve sunmaktadır, ancak modelin sektörler arası geçerliliği, çok firmalı ve karşılaştırmalı uygulamalarla doğrulanmayı gerektirmektedir.

Keywords

• Sürdürülebilir tedarikçi seçimi
• En İyi En Kötü Yöntem
• MARCOS
• Tekstil Tedarik Zinciri
• Senaryo Analizi

Supporting Institution

Destekleyen kurum bulunmamaktadır.

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