Ömrünü tamamlamış araçların geri kazanımı için belirsizlik altında ağ tasarımı
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Dosyalar
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Haliç Üniversitesi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Dünya genelinde doğal kaynakların küçümsenemeyecek boyutlarda tükenmeye başlaması ve yenilenebilmenin mümkün olmadığı bu zamanda, en ufak bir ürünün geri dönüşümünün çevresel faydası çok fazladır. Ömrünü tamamlamış araçların (ÖTA) geri kazanımı çevresel faydasının yanı sıra, içerdikleri geri dönüştürülebilir malzemeler nedeniyle ekonomik faydasıyla da dikkat çeken önemli kaynaklardır. Bu çalışmada, ÖTA için açık döngü tersine lojistik ağ tasarım problemi ele alınmıştır. Ele alınan problemi modellemek için ilk aşamada ağdaki tüm parametreler belirli olarak kabul edilip karma tam sayılı doğrusal programlama modeli geliştirilmiştir. İkinci aşamada ise son kullanıcılardan gelen ömrünü tamamlamış araçların miktarı belirsiz olarak kabul edilip deterministik model iki aşamalı stokastik programlama modeli olarak genişletilmiştir. İlk aşamada model söküm tesisleri ve işleme tesislerinin açılması gibi stratejik kararlar alınmıştır. Stokastik modelin ikinci aşamasında ise modele belirsizlik dahil edilerek toplama maliyetleri, taşıma maliyetleri, işleme maliyetleri gibi kararlar alınmıştır. Geliştirilen her iki modelin uygulaması Türkiye’nin Ankara ilinde yapılmış ve sonuçlar değerlendirilmiştir.
The fact that natural resources are being depleted in a worldwide dimension and at a time when regeneration is not possible, the environmental benefit of recycling the smallest product is enormous. Recovery of end-of-life vehicles (ELVs), besides its environmental benefits, they are also important sources of economic benefit due to the recyclable materials they contain.In this study, it was considered open loop reverse logistics network design problem for ELV. In order to model the problem being addressed, in the first stepit was developed a mixed integer linear programming model where all parameters in the network were considered to be specific. In the second stage, the amount of end-of-life vehicles from end users was considered uncertain and it was expanded the deterministic model as a two-stage stochastic programming model. In the first stage, it was decided strategically to open authorized dismantling facilities and reprocessing facilities. In the second stage of the stochastic model, it was included uncertainty in the model and made decisions such as collection costs, transportation costs and processing costs. The developed two models’ application was made in the city of Ankara of Turkey and the results were evaluated.
The fact that natural resources are being depleted in a worldwide dimension and at a time when regeneration is not possible, the environmental benefit of recycling the smallest product is enormous. Recovery of end-of-life vehicles (ELVs), besides its environmental benefits, they are also important sources of economic benefit due to the recyclable materials they contain.In this study, it was considered open loop reverse logistics network design problem for ELV. In order to model the problem being addressed, in the first stepit was developed a mixed integer linear programming model where all parameters in the network were considered to be specific. In the second stage, the amount of end-of-life vehicles from end users was considered uncertain and it was expanded the deterministic model as a two-stage stochastic programming model. In the first stage, it was decided strategically to open authorized dismantling facilities and reprocessing facilities. In the second stage of the stochastic model, it was included uncertainty in the model and made decisions such as collection costs, transportation costs and processing costs. The developed two models’ application was made in the city of Ankara of Turkey and the results were evaluated.
Açıklama
Anahtar Kelimeler
Ömrünü Tamamlamış Araç, Stokastik Programlama, Tersine Lojistik, End of life vehicle, Stochastic Programming, Reverse Logistics
Kaynak
Haliç Üniversitesi Fen Bilimleri Dergisi
WoS Q Değeri
Scopus Q Değeri
Cilt
3
Sayı
1
