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Kargo lojistik yönetiminde sistem dinamiği modeli
2022
Journal:  
Journal of Life Economics
Author:  
Abstract:

Kargomatlar, pratik kullanımları ve müşterilere sağladığı kolaylık sayesinde son zamanlarda oldukça popülerdir. Bu çalışmanın amacı, kargo lojistiğinde son günlerde sıklıkla kullanılan kargomat için sistem dinamiği modelinin geliştirilmesidir. Sistem Dinamiği MIT’den Jay Wright Forrester tarafından geliştirilmiştir. Birçok farklı disiplin için kullanım alanı olmasının yanında, sistem dinamiği stok yönetimi konusunda sıklıkla kullanılan bir yöntemdir. Sistem Dinamiği stok ve akış temeline dayanmaktadır. Bu çalışmada, kargomat stoğunun planlanması için sistem dinamiği (SD) modeli Vensim PLE iLe oluşturulmuştur. Geliştirilen sistem dinamiği modeli ile farklı senaryoların analizini gerçekleştirmek mümkündür. Kargomatın kapasitesinin yeterliliği geliştirilen sistem dinamiği modeli yardımıyla incelenmiştir. SD model sayesinde kargomat stoğunun planlaması yapılabilmektedir

Keywords:

System Dynamics Model In Cargo Logistics Management
2022
Author:  
Abstract:

Cargomats are very popular lately, thanks to their practical use and the convenience they provide to customers. The aim of this study is to develop a system dynamics model for Kargomat, which is frequently used in cargo logistics. System Dynamics was developed by Jay Wright Forrester at the MIT. In addition to being a field of use for many different disciplines, system dynamics is a frequently used method in stock management. System Dynamics is ba-sed on stock and flow. In this study, system dynamics (SD) model was created with Vensim PLE for the planning of cargomat stock. It is possible to analyze different scenarios with the developed system dynamics model. The adequacy of the cargomat’s capacity was examined with the help of the developed system dynamics model. Thanks to the SD model, it is possible to plan the cargo mat stock.

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Journal of Life Economics

Field :   Sosyal, Beşeri ve İdari Bilimler

Journal Type :   Uluslararası

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Article : 283
Cite : 684
Journal of Life Economics