Vidal's libraryTitle: | Agent based simulation architecture for evaluating operational policies in transshipping containers |
Author: | Lawrence Henesey, Paul Davidsson, and Jan A. Persson |
Journal: | Autonomous Agents and Multi-Agent Systems |
Volume: | 18 |
Number: | 2 |
Pages: | 220--238 |
Publisher: | Kluwer Academic Publishers |
Year: | 2009 |
DOI: | 10.1007/s10458-008-9044-y |
Abstract: | An agent based simulator for evaluating operational policies in the transshipment of containers in a container terminal is described. The simulation tool, called SimPort, is a decentralized approach to simulating managers and entities in a container terminal. Real data from two container terminals are used as input for evaluating eight transshipment policies. The policies concern the sequencing of ships, berth allocation, and stacking rule. They are evaluated with respect to a number of aspects, such as, turn-around time for ships and traveled distance of straddle carriers. The simulation results indicate that a good choice in yard stacking and berthing position policies can lead to faster ship turn-around times. For instance, in the terminal studied the Overall-Time-Shortening policy offers fast turn-around times when combined with a Shortest-Job-First sequencing of arriving ships |
Cited by 14 - Google Scholar
@article{henesey09b,
author = { Lawrence Henesey and Paul Davidsson and Jan
A. Persson},
title = {Agent based simulation architecture for evaluating
operational policies in transshipping containers},
journal = {Autonomous Agents and Multi-Agent Systems},
volume = 18,
number = 2,
year = 2009,
issn = {1387-2532},
pages = {220--238},
doi = {10.1007/s10458-008-9044-y},
publisher = {Kluwer Academic Publishers},
address = {Hingham, {MA}, {USA}},
abstract = {An agent based simulator for evaluating operational
policies in the transshipment of containers in a
container terminal is described. The simulation
tool, called SimPort, is a decentralized approach to
simulating managers and entities in a container
terminal. Real data from two container terminals are
used as input for evaluating eight transshipment
policies. The policies concern the sequencing of
ships, berth allocation, and stacking rule. They are
evaluated with respect to a number of aspects, such
as, turn-around time for ships and traveled distance
of straddle carriers. The simulation results
indicate that a good choice in yard stacking and
berthing position policies can lead to faster ship
turn-around times. For instance, in the terminal
studied the Overall-Time-Shortening policy offers
fast turn-around times when combined with a
Shortest-Job-First sequencing of arriving ships},
url = {http://jmvidal.cse.sc.edu/library/henesey09b.pdf},
cluster = {11432735058186617405},
}
Last modified: Wed Mar 9 10:16:58 EST 2011