Malatya Büyükşehir Belediyesi İlaçlama Araçlarının Güzergahlarının Optimizasyonu

Yıl 2018, Cilt 6, Sayı 1, 2018, 13 - 24, 01.01.2018

Hasan Söyler , Eda Fendoğlu

https://doi.org/10.17093/alphanumeric.368417

Cited By: 1

Öz

Günümüz rekabet ortamında işletmeler,  artan müşteri taleplerini karşılamak için ürün, hizmet ve ilgili bilgilerin arz ve tüketim noktaları arasında minimum maliyet, optimum rota ve müşteri memnuniyetine uygun şekilde transfer edilmesine önem vermektedir. Ekonomideki öneminden dolayı son 50 yıldır akademisyenler tarafından üzerinde çok çalışılan ve lojistik yönetimi alt konusu olan Araç Rotalama Problemi (ARP) işletmelerde toplam dağıtım maliyetinin önemli bölümünü oluşturmakta ve finansal olarak ciddi harcamalar yapılmaktadır. 

Bu çalışmada ARP ve Çinli Postacı Problemi (ÇPP) tanıtılmış, Malatya Büyükşehir Belediyesi ilaçlama araçlarının optimal rotaları, Hierholzer & Floyd Warshall Algoritmaları ve Excel-Solver ile hesaplanmış, sonuçlar karşılaştırılmıştır.

Anahtar Kelimeler

Karar Verme Teknikleri ve Modelleme, Optimizasyon, Rotalama ve Çizelgeleme

Route Optimization of Malatya Metropolitan Municipality Pesticide Vehicles

Öz

In today's competitive environment, businesses attach importance to transfer products, services and related information between supply and consumption points in order to meet increasing customer demands, in accordance with minimum cost, optimum route and customer satisfaction. Due to its importance in the economy, the Vehicle Routing Problem (VRP), which has been working hard on academics for the last 50 years and is a sub-topic of logistics management, constitutes a significant part of the total distribution cost in the businesses and financial expenditures are serious.

In this study, VRP and Chinese Postman Problem (CPP) is introduced, optimal routes of Malatya Metropolitan Municipality pesticide vehicles is determined by using Hierholzer & Floyd Warshall Algorithms and Excel - Solver and solution is compared.

Anahtar Kelimeler

Decision Making Techniques and Modeling, Optimization, Routing and Scheduling

Kaynakça

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