Berth allocation in a container port: using a continuous location space approach

Akio Imai, Xin Sun, Etsuko Nishimura and Stratos Papadimitriou

Transportation Research Part B: Methodological, 2005, vol. 39, issue 3, 199-221

Abstract: This paper addresses the berth allocation problem in a multi-user container terminal. There are two typical schemes for berth allocation: one in discrete locations and the other in continuous locations. The former has the advantage of easiness in scheduling but it has a weakness in that terminal usage is not fully efficient. The latter exhibits the complete opposite characteristics. In previous papers, the authors have developed and presented the discrete location version of the berth allocation problem. In view of the steadily growing trend in increasing the container ship size, more flexible berth allocation planning is mandatory, especially in busy hub ports where ships of various sizes are calling. In this paper, a heuristic for the berth allocation problem in continuous locations is presented. A wide variety of experiments were conducted and the results showed that the heuristic works well from a practical point of view.

Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (62)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0191-2615(04)00050-5
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:transb:v:39:y:2005:i:3:p:199-221

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

Access Statistics for this article

Transportation Research Part B: Methodological is currently edited by Fred Mannering

More articles in Transportation Research Part B: Methodological from Elsevier
Bibliographic data for series maintained by Catherine Liu ().