2019Unpublished venueRequires access

A Berth Allocation Method for Container Terminal with Indented Berths and Marginal Berths

Zhang Yanwei, Wang Yingchun, Cai Mengdie

Open publisher page 1 citations

Abstract

Aiming at the berth allocation problem of mixed berth layout with both Indented Berths and Marginal Berths, a Mixed Integer Programming Model is constructed to minimize the total ship arrival time and customer dissatisfaction. Then, the Separate Strategy in which Indented Berths serve only large container ships and Marginal Berths serve only small container ships is introduced, and the Integrated Strategy of Indented Berths and Marginal Berths serving both large and small container ships is proposed as well. To solve the model, a Genetic Algorithm is designed by using the two-dimensional integer chromosome coding. The example shows that the Integrated Strategy can greatly reduce the total time of container ships in port and customer dissatisfaction, which is superior to the Separate Strategy, thus verifying the effectiveness of the integrated strategy.

About this research paper

What this paper is about

Aiming at the berth allocation problem of mixed berth layout with both Indented Berths and Marginal Berths, a Mixed Integer Programming Model is constructed to minimize the total ship arrival time and customer dissatisfaction. Then, the Separate Strategy in which Indented Berths serve only large container ships and Marginal Berths serve only small container ships is introduced, and the Integrated Strategy of Indented Berths and Marginal Berths serving both large and small container ships is proposed as well. To solve the model, a Genetic Algorithm is designed by using the two-dimensional integer chromosome coding. The example shows that the Integrated Strategy can greatly reduce the total time of container ships in port and customer dissatisfaction, which is superior to the Separate Strategy, thus verifying the effectiveness of the integrated strategy.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Aiming at the berth allocation problem of mixed berth layout with both Indented Berths and Marginal Berths, a Mixed Integer Programming Model is constructed to minimize the total ship arrival time and customer dissatisfaction. Then, the Separate Strategy in which Indented Berths serve only large container ships and Marginal Berths serve only small container ships is introduced, and the Integrated Strategy of Indented Berths and Marginal Berths serving both large and small container ships is proposed as well. To solve the model, a Genetic Algorithm is designed by using the two-dimensional integer chromosome coding. The example shows that the Integrated Strategy can greatly reduce the total time of container ships in port and customer dissatisfaction, which is superior to the Separate Strategy, thus verifying the effectiveness of the integrated strategy.

Key concepts: Container (type theory), Integer programming, Operations research, Terminal (telecommunication), Computer science, Genetic algorithm, Port (circuit theory), Coding (social sciences)

Related papers

Back to paper searchBrowse research topicsOriginal source
A Berth Allocation Method for Container Terminal with Indented Berths and Marginal Berths — Research Paper | ScholarLens