Bir Lojistik Firmasının En Kısa Yol Problemine Düğüm Kombinasyonu Algoritmasının Uygulanması

Abstract

Lojistik; ürünlerin taşınması, depolanması ve nihai varış noktasına ulaşması ile ilgili tüm süreçlerin yönetimidir. Lojistik faaliyetlerinin son derece karmaşık süreci, ürünlerin başlangıç noktasından varış noktasına kadar doğru bir şekilde koordinasyonunu gerektirir. Bu çalışmada, bir lojistik firması için Düzce-Artvin arasındaki toplam mesafeyi ve süreyi en aza indiren bir rota belirleme problemi, şebeke analiz yöntemlerinden biri olan En Kısa Yol (EKY) problemi olarak ele alınmıştır. Çalışmanın amacı, lojistik firmasının dağıtım faaliyetlerini optimize ederek daha yüksek düzeyde kârlılık ve müşteri hizmeti sunmaktır. Problemin çözümünde düğüm kombinasyonu algoritması kullanılmış, mesafe ve süre dikkate alınarak iki farklı rota elde edilmiştir. Bulgular, toplam minimum mesafenin 1152 km ve toplam minimum sürenin 16 saat 33 dakika olduğunu göstermektedir. Çalışmada toplam minimum mesafe dikkate alınarak elde edilen rota, Google Haritalar’ın sunduğu iki rotadan daha kısa mesafede ve sürede alternatif bir rota sunmaktadır. Ayrıca toplam minimum süre dikkate alınarak elde edilen rotanın, Google Haritalar’ın sunduğu alternatifler arasından en kısa mesafe ve süreye ait olan rota ile uyumlu olması, düğüm kombinasyonu algoritmasının uygulanabilirliğini göstermesi açısından önemlidir.

Keywords

• En Kısa Yol Problemi
• Düğüm Kombinasyonu Algoritması
• Şebeke Analizi

Applying the Node Combination Algorithm to the Shortest Path Problem for a Logistics Firm

Abstract

Logistics entails the management of all processes related to products’ transportation, storage, and arrival at their destination. The highly complex process of logistics activities requires products to be accurately coordinated from their starting point to their destination. This study considers a route determination problem that minimizes the total distance and time between the cities of Düzce and Artvin in Turkey for a logistics company in terms of the shortest path problem (SPP), a network analysis method. The aim of the study is to provide a higher level of profitability and customer service by optimizing the distribution activities of a logistics company. The node combination algorithm has been used to solve the problem, with two different routes being obtained by considering distance and time. The study’s findings show the total minimum distance to be 1,152 km and the total minimum time to be 16 hours and 33 minutes. The route the study obtained by considering the total minimum distance offers an alternative route in terms of both shorter distance and time compared to the two routes offered by Google Maps. In addition, having the route obtained by considering the total minimum time be compatible with the route with the shortest distance and time that is found among the alternatives offered by Google Maps is important in terms of demonstrating the applicability of the node combination algorithm used in the study. 

Keywords

• Network Analysis
• Shortest Path Problem
• Node Combination Algorithm
• Şebeke Analizi
• En Kısa Yol Problemi
• Düğüm Kombinasyonu Algoritması

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