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Decision support based automatic container sequencing system using heuristic rules

delete2016-11-10
delete5
PRE
AI
丁一 (Yi Ding) *
X
XU Jun-wei
Y
Yang Yang
T
Tianyi Gu
DOI:10.1007/s10586-016-0678-2delete
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Abstract

Abstract

En 中文
Container terminals in seaports constitute interfaces between the seaborne transport and transport-over-land of goods in global transport chains. The loading and unloading of containers are performed using quay cranes (QCs), which is the most important equipment for handling servicing vessels at a container terminal. Following tremendous growth in global container transshipments, terminals are facing increasing demand. Terminals at Shanghai are equipped with Tandem Lift which can lift two 40' containers simultaneously to improve the efficiency of the QCs. A reasonable container combinations of Tandem Lift and container operation sequence are required to improve the servicing of vessels, meanwhile the dual cycling container operation of quay cranes has to be investigated. This paper presents a two-stage mathematical model and two-level heuristic algorithm for planning the container operation sequence using Tandem Lift in a feasible computational time. Based on the proposed methodology, a decision support system, called the Tandem Lift Container Sequence System (TLCSS). A case study of Shanghai Shengdong International Port Company (SSICT) proves that consideration of the container sequence with Tandem Lift dramatically shortens servicing time of vessels with the TLCSS.
Keywords:
Container terminal
Quay cranes
Tandem Lift
Container sequence
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Journal

C
Cluster Computing-The Journal of Networks Software Tools and Applications
IF:
4.1
Papers:
5.0K
Citations:
7.5K

Organization

University System of New Hampshire cover
University System of New Hampshire
Scholars:
5.3K
Papers: 4.9K
Citations: 13
S
Shanghai Maritime University
Scholars:
4.8K
Papers: 4.2K
Citations: 4.7K