원문정보
초록
영어
Port storage area optimization is resulted from the space allocation requirements of a seaport. Inventory analysis, covered in the scope of operation research topics, is frequently used in the port management such as determining the capacity of the storage areas. In the scope of port planning, the feasible storage area will yield an economic configuration with minimal investment. To achieve this, there must be none or minimum idle container slots in the storage area. In this study, a model based on the inventory analysis considering the minimization of the port expenses was implemented for the İzmir port in Turkey and the optimum future storage area of İzmir port was estimated for the coming years by forecasting the container traffic using Artificial Neural Networks considering the Turkey’s economic growth. The study indicated that there is a requirement of a storage area capacity for the coming years. It was found that, the capacity requirement for an optimal storage area management for the seaport was around 10000 containers for 2014, 11000 for 2018 and 12000 for 2023.
목차
1. Introduction
2. Methodology
1.1. Container Storage Area Planning based on Inventory Model
1.2 Container Traffic Projection based on the ANN Model
3. Implementation of the Model for the İzmir Seaport
3.1. Information about the Seaport
3.2 Container Traffic Forecasting
3.3 Determination of the Model Parameters
4. Conclusion
References