Maximizing the reliability of terminal service by vessel scheduling and quay crane assignment

H. L. Ma; Tung Sun Chan; Sai Ho Chung; C. S. Wong

doi:10.1109/ICQR.2011.6031686

Maximizing the reliability of terminal service by vessel scheduling and quay crane assignment

H. L. Ma, Tung Sun Chan, Sai Ho Chung, C. S. Wong

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

Competition among container terminals is known to be rigorous. To differentiate from each others, terminals are required to provide higher service level, higher reliability, and lower cost to their customers. To achieve that, they continuously seek for methodology that aims to optimize the utilization of resources and particularly reduce the vessel rejection rate. A high rejection rate not only induces higher operation costs but also loss the customer loyalty. Since a vessel is traveling from one terminal to the other terminals for loading and discharging of containers, delay should be avoided. In this connection, a robust berth allocation planning for a terminal is required. In this study, a two levels Genetic Algorithm (GA) is proposed to minimize the rejection rate taking into account the quay crane assignment simultaneously.

Original language	English
Title of host publication	2011 IEEE International Conference on Quality and Reliability, ICQR 2011
Pages	85-89
Number of pages	5
DOIs	https://doi.org/10.1109/ICQR.2011.6031686
Publication status	Published - 24 Oct 2011
Event	2011 IEEE International Conference on Quality and Reliability, ICQR 2011 - Bangkok, Thailand Duration: 14 Sept 2011 → 17 Sept 2011

Conference

Conference	2011 IEEE International Conference on Quality and Reliability, ICQR 2011
Country/Territory	Thailand
City	Bangkok
Period	14/09/11 → 17/09/11

Keywords

berth allocation
Genetic algorithm
quay crane assignment
terminal
vessel rejection

ASJC Scopus subject areas

Safety, Risk, Reliability and Quality

More information

10.1109/ICQR.2011.6031686

Cite this

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title = "Maximizing the reliability of terminal service by vessel scheduling and quay crane assignment",

abstract = "Competition among container terminals is known to be rigorous. To differentiate from each others, terminals are required to provide higher service level, higher reliability, and lower cost to their customers. To achieve that, they continuously seek for methodology that aims to optimize the utilization of resources and particularly reduce the vessel rejection rate. A high rejection rate not only induces higher operation costs but also loss the customer loyalty. Since a vessel is traveling from one terminal to the other terminals for loading and discharging of containers, delay should be avoided. In this connection, a robust berth allocation planning for a terminal is required. In this study, a two levels Genetic Algorithm (GA) is proposed to minimize the rejection rate taking into account the quay crane assignment simultaneously.",

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Ma, HL, Chan, TS, Chung, SH & Wong, CS 2011, Maximizing the reliability of terminal service by vessel scheduling and quay crane assignment. in 2011 IEEE International Conference on Quality and Reliability, ICQR 2011., 6031686, pp. 85-89, 2011 IEEE International Conference on Quality and Reliability, ICQR 2011, Bangkok, Thailand, 14/09/11. https://doi.org/10.1109/ICQR.2011.6031686

Maximizing the reliability of terminal service by vessel scheduling and quay crane assignment. / Ma, H. L.; Chan, Tung Sun; Chung, Sai Ho et al.

2011 IEEE International Conference on Quality and Reliability, ICQR 2011. 2011. p. 85-89 6031686.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - Competition among container terminals is known to be rigorous. To differentiate from each others, terminals are required to provide higher service level, higher reliability, and lower cost to their customers. To achieve that, they continuously seek for methodology that aims to optimize the utilization of resources and particularly reduce the vessel rejection rate. A high rejection rate not only induces higher operation costs but also loss the customer loyalty. Since a vessel is traveling from one terminal to the other terminals for loading and discharging of containers, delay should be avoided. In this connection, a robust berth allocation planning for a terminal is required. In this study, a two levels Genetic Algorithm (GA) is proposed to minimize the rejection rate taking into account the quay crane assignment simultaneously.

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Maximizing the reliability of terminal service by vessel scheduling and quay crane assignment

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

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