Earticle

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

Abstract
 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

키워드

저자

• Mehmet Sinan Yildirim [ Manisa Celal Bayar University,Manisa, Turkey ]
• Ümit Gokkus [ Manisa Celal Bayar University,Manisa, Turkey ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605