Study on berth planning problem in a container seaport: using an integrated programming approach

This paper provides an integrated solution for two common processes in a container seaport: namely, the Berth Allocation Process (BAP) and the Quay Crane Scheduling Process (QCSP). These are formulated through a Bi-Level Programming (BLP) approach, which is used to characterize the highly interrelat...

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Bibliographic Details
Main Authors: Song, Liying (Author), Cherrett, T.J (Author), Guan, W. (Author)
Format: Article
Language:English
Published: 2012-02.
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Summary:This paper provides an integrated solution for two common processes in a container seaport: namely, the Berth Allocation Process (BAP) and the Quay Crane Scheduling Process (QCSP). These are formulated through a Bi-Level Programming (BLP) approach, which is used to characterize the highly interrelated relationships between the two processes and simultaneously, identify an integrated solution for both. The upper-level problem (BAP) is termed 'NP-hard' as its computational complexity increases exponentially with the number of incoming ships for mooring, while the lower-level problem (QCSP) is a mixed-integer linear program. A revised Genetic Algorithm and a Branch-and-Bound method (B&B) are then applied for the solutions of upper and lower level problems, respectively.