Decision support for yard capacity, fleet composition, truck substitutability, and scalability issues at seaport container terminals

Matthew E.H. Petering

Transportation Research Part E: Logistics and Transportation Review, 2011, vol. 47, issue 1, 85-103

Abstract: This paper presents the results of nine independent studies that link a seaport container terminal's long-run average quay crane rate to various strategic and tactical decisions made by the terminal operating company. New numerical results on yard capacity, fleet composition, truck substitutability, and terminal scalability issues are obtained using a fully-integrated, discrete event simulation model of a vessel-to-vessel transshipment terminal that is designed to reproduce the microscopic, stochastic, real-time environment at a multiple-berth facility. These are the first such studies to be conducted using a fully-integrated simulation model of a non-automated container terminal.

Keywords: Seaport; container; terminal; Yard; capacity; Terminal; scalability; Gross; crane; rate; Simulation (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (24)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1366554510000785
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:transe:v:47:y:2011:i:1:p:85-103

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/600244/bibliographic
http://www.elsevier. ... 600244/bibliographic

Access Statistics for this article

Transportation Research Part E: Logistics and Transportation Review is currently edited by W. Talley

More articles in Transportation Research Part E: Logistics and Transportation Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().