Journals / Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi / 2024 / Cilt: 40 Sayı: 3

Application of the MABAC Method for the Selection of Denim Fabrics with Sustainability Framework

Sürdürülebi̇lirlik Çerçevesi̇nde Deni̇m Kumaş Seçi̇mi̇ için MABAC Yöntemi̇nin Uygulanması

Esra Akgul(ERCİYES UNIVERSITY)0000-0002-4468-178X
Pages
635–642
Publication Date
2024-12-30
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

According to the ranking results, the sample denim fabric composed of 100% organic cotton, treated with a laser density of 32 dpi, a pixel time of 150, and subsequently rinsed, is the top-performing denim fabric.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Denim fabrics are known as popular fashion products preferred by all age groups globally.
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Key Findings & Data:The denim fabrics analyzed in this study are composed of 100% cotton, 100% organic cotton, 70% cotton with 30% pre-consumer recycled cotton, and 80% cotton with 20% post-consumer recycled cotton.
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Conclusion & Impact:According to the ranking results, the sample denim fabric composed of 100% organic cotton, treated with a laser density of 32 dpi, a pixel time of 150, and subsequently rinsed, is the top-performing denim fabric.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Denim · MABAC yöntemi · Lazer yıkama

Abstract

Denim fabrics are known as popular fashion products preferred by all age groups globally. With the growing environmental awareness among consumers, denim fabric manufacturers have increasingly adopted environmentally sustainable production practices. This study aims to evaluate eight different denim fabric samples based on their tear strength and tensile strength properties using the Multi-Attributive Border Approximation Area Comparison (MABAC) method. The denim fabrics analyzed in this study are composed of 100% cotton, 100% organic cotton, 70% cotton with 30% pre-consumer recycled cotton, and 80% cotton with 20% post-consumer recycled cotton. Each denim fabric undergoes laser treatment at varying levels, after which they are subjected to either rinse or 30-minute stone washing processes. The MABAC method ranks the fabrics based on the selected performance criteria. According to the ranking results, the sample denim fabric composed of 100% organic cotton, treated with a laser density of 32 dpi, a pixel time of 150, and subsequently rinsed, is the top-performing denim fabric.

Özet

Denim kumaşlar, küresel ölçekte her yaş grubu tarafından tercih edilen popüler moda ürünleri olarak bilinmektedir. Tüketiciler arasında artan çevresel farkındalıkla birlikte, denim kumaş üreticileri de giderek daha çevre dostu üretim uygulamalarını benimsemektedir. Bu çalışmada, Multi-Attributive Border Approximation Area Comparison (MABAC) yöntemi kullanılarak sekiz farklı denim kumaş örneğinin yırtılma mukavemeti ve çekme mukavemeti özelliklerine göre değerlendirilmesi amaçlanmıştır. Çalışmada analiz edilen denim kumaşlar, %100 pamuk, %100 organik pamuk, %70 pamuk ile %30 üretim öncesi geri dönüştürülmüş pamuk ve %80 pamuk ile %20 tüketim sonrası geri dönüştürülmüş pamuk karışımlarından oluşmaktadır. Kumaşlar, her biri farklı yoğunluklarda lazer işlemine tabi tutulmuş ve ardından 30 dakikalık taş yıkama veya durulama işlemlerinden geçirilmiştir. Seçilen performans kriterlerine göre kumaşların sıralaması MABAC yöntemi ile yapılmıştır. Sıralama sonuçlarına göre, %100 organik pamuktan üretilen, 32 dpi lazer yoğunluğu, 150 piksel süresi ile işlenmiş ve ardından durulama yapılan örnek denim kumaş, en yüksek performans gösteren denim kumaş olarak belirlenmiştir.

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Cite This Article

Akgul, E. (2024). Application of the MABAC Method for the Selection of Denim Fabrics with Sustainability Framework. Erciyes Üniversitesi Fen Bilimleri Enstitüsü Fen Bilimleri Dergisi, Cilt: 40 Sayı: 3, 635–642. https://ajindex.com/articles/1266714

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