SELF ORGANISING MAPS FOR BIOFUEL SUPPLY CHAIN NETWORK DESIGN STUDIES

Year 2020, , 345 - 356, 25.06.2020

Fatih Öztürk , Ali Osman Kuşakcı , Berk Ayvaz , Melike Sırakaya Karakoç

https://doi.org/10.21923/jesd.509079

Cited By: 2

Abstract

Interest in environmentally friendly, renewable energy sources has been increasing. Energy Market Regulatory Authority (EPDK) has been obliged to add biodiesel and ethanol as domestic additives to petrol. This makes it necessary to make efficient and optimal green supply chain network design studies for renewable energy sources. In this context, decision makers have focused on renewable energies to produce sustainable solutions that provide economic development, environmental sensitivity and social welfare. In this study, previous studies on biofuel supply chain network designs were analyzed in terms of their work, objectives, decision variables, constraints, optimization method used and results. the studies were clustered using a special type of artificial neural networks Self Organizing Maps method and the densities of the features were shown in the study. This article, which includes a review of the literature and a cluster of studies, is a guide for researchers working on biofuel supply chain network design.

Keywords

Supply Chain Network Design, Biofuels, Renewable Energy, Decision Making

BİYOYAKIT TEDARİK ZİNCİRİ AĞ TASARIMI ÇALIŞMALARI İÇİN ÖZ DÜZENLEYİCİ HARİTALAR

Abstract

Son yıllarda çevre dostu yenilenebilir enerji kaynaklarına ilgi artmaktadır. Ülkemizde Enerji Piyasası Düzenleme Kurumu (EPDK) tarafından, 2013 yılından itibaren benzine ve motorine yerli katkı olarak, oranları her yıl arttırılmak üzere biyodizel ve etanol ilave zorunluluğu getirilmiştir. Bu da yenilenebilir enerji kaynakları için etkin ve optimal yeşil tedarik zinciri ağı tasarımı çalışmalarının yapılmasını gerekli kılmaktadır. Bu bağlamda karar vericiler, ekonomik gelişme sağlayan, çevre hassasiyeti olan ve sosyal refahı sağlayan sürdürülebilir çözümler üretmek için biyoenerji, rüzgâr, güneş, dalga, gelgit vs. gibi yenilenebilir enerjilere odaklanmışlardır Bu çalışmada biyoyakıtların tedarik zinciri ağ tasarımları ile ilgili yapılmış geçmiş çalışmalara yer verilmiş ve çalışmalar; amaçları, karar değişkenleri, kısıtları, kullanılan optimizasyon metodu ve sonuçları açısından analiz edilerek değerlendirilmiştir. İncelenen çalışmalar, yapay sinir ağlarının özel bir çeşidi olan öz düzenleyici haritalar (Self Organizing Maps-SOM) yöntemi kullanılarak kümelenmiş ve literatürdeki boşluklar tartışılmıştır. Literatürün incelemesi ve çalışmaların kümelenmesini içeren bu makale, biyoyakıt tedarik zinciri ağ tasarımı ile ilgili çalışma yapacak araştırmacılar için yol gösterici niteliktedir. 

Keywords

Tedarik Zinciri Ağ Tasarımı, Biyoyakıt, Yenilenebilir Enerji, Karar Verme

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