Sanal mağaza drone depo yer ve önceliklerinin tespitine yönelik bir araştırma süreci modeli
Günümüzde e-ticaret, İnternet’in gelişimi ile doğru orantılı olarak büyüme ve gelişme göstermektedir. E-ticarette yaşanan bu gelişmeler ve değişen pazarlama dünyası ile birlikte işletmeler bu sektörde yeni çözümler üretmeye başlamışlardır. Şehrin belirli noktalarına sanal mağaza depolarının kurulması ve müşterilere siparişlerin bu depolardan drone araçlar ile ulaştırılması bu çözümlerden en önemlisidir. Araştırmanın amacı, metropollerde drone ile perakende ürün taşımacılığı sağlayan sanal mağaza depolarının (Sanal Mağaza Drone Depo) yer ve önceliklerini tespitine yönelik bir araştırma modeli sunmak ve test etmektir. Doğal olarak bu tür problemlerin çözümünde uzaklık ve yoğunluk verilerinin analizine başvurulmaktadır. Çalışmada dünyanın en büyük metropollerinden olan Londra örnek alınmıştır. Araştırmanın modeline bağlı olarak, ilk aşamada metropoldeki yoğunluğu işaret eden noktalar belirlenmiştir. Sonraki aşamada, Google haritalar üzerinde, Londra Zone-2 içerisinde yer alan, bu noktaların konum verileri (enlem-boylam) toplanmıştır. Modelin bir sonraki aşamasında yoğun yerleşim bölgelerinin konum verileri, veri madenciliği tekniklerinden x-ortalamalar kümeleme algoritması kullanılarak gruplandırılmıştır. Ardından Çok kriterli Karar Verme (ÇKKV) yöntemlerinden TOPSIS kullanılarak kümelerin performans değerlendirmesi yapılmıştır
Anahtar Kelimeler:
E-ticaret, Sanal Mağaza Drone Depo, Kümeleme Algoritmaları, Çok Kriterli Karar Verme, Depo Yeri Seçimi
A research process model for determining the location and priorities of virtual store drone warehouse
Today, e-commerce is growing and developing in direct proportion with the development of the internet. With these developments in e-commerce and the changing marketing world, businesses have started to produce new solutions in this sector. The establishment of virtual store warehouses in certain points of the city and the delivery of orders to customers via drone vehicles are the most important of these solutions. The aim of the research is to present and test a research model for determining the location and priorities of the virtual store warehouses (Virtual Store Drone Warehouse) that provide retail product transportation with drone in metropolises. Naturally, distance and density data are used in the analysis of such problems. In the study, London, which is one of the biggest metropolises of the world, is taken as an example. Depending on the model of the research, in the first stage, the points indicating the density in the metropolis were determined. In the next stage, the location data (latitude-longitude) of these points in London Zone-2 was collected via Google maps. In the next stage of the model, the location data of the densely populated areas were grouped using x-means clustering algorithm, one of the data mining techniques. Then, the performance evaluation of the clusters was carried out using TOPSIS, one of the Multi-Criteria Decision-Making (MCDM) methods
Keywords:
E-commerce, Virtual Store Drone Warehouse, Clustering Algorithm, Multi-Criteria Decision Making, Warehouse Site Selection,
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- Yayın Aralığı: Yılda 2 Sayı
- Başlangıç: 2010
- Yayıncı: Selcuk Burak Hasiloglu