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 |
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Title of host publication | 2011 IEEE International Conference on Quality and Reliability, ICQR 2011 |
Pages | 85-89 |
Number of pages | 5 |
DOIs | |
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 |
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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