KONTEYNER TERMİNALLERİNDE RIHTIM VİNCİ ÇİZELGELEME PROBLEMİNİN ÇÖZÜMÜNE YÖNELİK ÖNERİLEN MODELLER ÜZERİNE BİR ARAŞTIRMA

Uluslararası lojistik ve tedarik zinciri sistemi içinde yer alan limanlar ulaştırma ana faaliyetinin önemli bir halkasını oluşturmaktadır. Liman operasyonları tüm lojistik süreçlerini doğrudan ve dolaylı olarak etkilemektedir. Artan limanlar arası rekabet de göz önünde bulundurulduğunda bu süreçlerin optimal hale getirilmesi gerekliliği ortaya çıkmaktadır. Özellikle liman operasyonlarında kullanılan rıhtım vinçlerinin verimliliği liman kapasitesi ve gemilerin limanda bekleme süresi üzerinde önemli bir etkiye sahiptir. Buradan hareketle, rıhtım vinci operasyonlarından optimal verim elde edebilmek için birçok model önerilmiştir. Bu çalışmada, literatürde yer alan konteyner terminallerinde rıhtım vinci çizelgeleme probleminin çözümüne yönelik önerilen modellerin incelenmesi ve bu modeller üzerine tartışma yapılması amaçlanmaktadır. Yapılan bibliyometrik analiz neticesinde, önerilen modellerde kullanılan 21 farklı çözüm metodu içinde, genetik algoritmanın en sık kullanılan çözüm algoritması olduğu ortaya çıkmıştır. Yapay zekanın ise en çok tercih edilen yaklaşım tipi olduğu tespit edilmiştir. Araştırmada ayrıca hızla gelişen teknolojinin limanların altyapılarını doğrudan etkilediği, limanların daha hızlı elleçleme yapabilen vinçlere ihtiyaç duyduğu ve bu doğrultuda rıhtım vinci çizelgelemesine yönelik yenilikçi çözüm modellerinin geliştirilmesi gerektiği ortaya çıkmıştır.

A RESEARCH ON MODELS PROPOSED FOR QUAY CRANE SCHEDULING PROBLEM IN CONTAINER TERMINALS

Ports within the international logistics and supply chain system constitute an important link of transport main activity. Port operations directly and indirectly affect all logistics processes. It is necessary to optimize these processes considering the increasing inter-port competition. Especially the efficiency of quay cranes used in port operations has an important effect on the port capacity and the waiting time of the vessels in ports. Thus, many models have been proposed to obtain optimal efficiency from quay crane operations. The study aims to examine and discuss the models proposed in the literature to solve the quay crane scheduling problem in the container terminals. As a result of the bibliometric analysis, it has been understood that the genetic algorithm is the most frequently used solution algorithm in the 21 different solution methods used in the proposed models. It has also been determined that artificial intelligence is the most preferred approach. The research also reveals that the rapidly developing technology has a direct impact on the infrastructure of ports, that ports need fast handling cranes and that innovative solution models should be developed in this direction.

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