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Avrasya Ekonometri �statistik ve Ampirik Ekonomi DergisiYl:2016 Say: VOL1S1 Alan: BOL

Ahmet Erglen, Halim KAZAN, Fevzi Serkan zdemir
Trkiyede Ambalaj Atklarnn Geri Dnm Potansiyellerinin Dorusal Programlama ve Bulank Dorusal Programlama Yntemiyle Analizi
 
rnlerin hammadde ve malzeme aamasndan tketiciye teslimine kadar geen sreteki faaliyetlere odaklanlmasnn sebebi, uzun zamandr lojistik szcnn yalnzca geleneksel (ileri) lojistik uygulamalar iin kullanlm olmasndan kaynaklanmaktadr. Fakat reticilerin bu rnlere dair sorumluluklarnn sat ile snrl kalmamas, tedarik zinciri iinde retilmi rnlerin tketicilerce kullanmnn sonrasnda da devam etmesi gerekmektedir. Bu kullanlan rnlerin tekrar toplanmas ve tekrar kullanlabilir hale getirilmeleri, geri kazanlamayacak olanlarn da doada koullarna uygun biimde yok edilmesi, israfn nne geilmesi ve srdrlebilir kalknmann altyapsnn oluturulmas gibi deien evre koullar, ters lojistik kavramnn ortaya kmasna neden olmutur. Yani lojistik kavram, rnlerin geri kazanmna karlk gelen ters lojistik uygulamalarn da ieren geni bir kavram haline gelmitir. Ters lojistik uygulamalar iinde kullanlm veya geri dnen rnlerin toplanmas, bunlarn yeniden ilenmesi ve ileme sonras yeniden datmlar yer alr. letmeler ve rn bakmndan hangi geri kazanm biimi uygun olursa olsun, tm geri kazanm uygulamalarnda bu faaliyetler yerine getirilir. Geri kazanm, rnlerin geri dnm, tamiri, yeniden retimi, yeniletirilmesi gibi eitli uygulamalarla yeniden retime kazandrlmas biiminde olabilmektedir. Bu almann amac, bir geri kazanm biimi olan geri dnm ile snrlar erevesinde, gerek bir atk toplama tesisinde ters lojistik maliyetlerini dorusal programlama modeli ve bulank dorusal programlama modeli kullanmak suretiyle optimize etmektir.

Anahtar Kelimeler: Geri Dnm Maliyetleri, Ters Lojistik, Dorusal Programlama, Bulank Dorusal Programlama, Optimizasyon


THE RECYCLING POTENTIAL OF PACKING WASTE IN TURKEY: ANALISED BY LINEAR PROGRAMING AND FUZZY LOGIC METHOD
 
The reason for the focusing on activities in the process starts from the raw material stage and ends with product delivery to the customer is that usage of the word -logistics- solely for the traditional (forward) logistics applications for a long time. But, changing environmental conditions such as producers not only limited to the sale of responsibility for these products, but also collecting these products in the supply chain after usage by consumers and make them reusable, disposing some of them that cannot be recycled appropriately to natural conditions, preventing waste and constructing the sustainable development infrastructure has led to the emergence of the "reverse logistics concept. So the concept of logistics has become a broader concept including reverse logistics applications corresponding to recoveries of products. Collection of returned items, re-processing them and post-process redistribution of them are among these reverse logistics applications. Enterprises perform these operations in all recovery due to the convenience of recovery technique for them. Recycling can be by some applications such as recycling of products, repairing, remanufacturing, refurbishing or making product robust. The aim of this study is, provided that it is limited by recycling as a form of recovery, to optimize reverse logistics costs by using fuzzy linear programming model in a real-time waste collection facility.

Keywords: Recycling costs, Reverse Logistics, Linear Programming, Fuzzy Linear Programming Optimization


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