Vidal's libraryTitle: | Simulation and Planning of an Intermodal Container Terminal |
Author: | Luca Maria Gambardella, Andrea E. Rizzoli, and Marco Zaffalon |
Journal: | Simulation |
Volume: | 71 |
Pages: | 107--116 |
Year: | 1998 |
Abstract: | A decision support system for the management of an intermodal container terminal is presented. Among the problems to be solved, there are the spatial allocation of containers on the terminal yard, the allocation of resources and the scheduling of operations in order to maximise a performance function based on some economic indicators. These problems are solved using techniques from optimisation, like job-shop scheduling, genetic algorithms or mixed-integer linear programming. At the terminal, the same problems are usually solved by the terminal manager, only using his/her experience. The manager can trust computer generated solutions only by validating them by means of a simulation model of the terminal. Thus, the simulation tool also becomes a means to introduce new approaches into traditional settings. In the present paper we focus on the resource allocation problem. We describe our modules for the optimisation of the allocation process and for the simulation of the terminal. The former is based on integer linear programming; the latter is a discrete event simulation tool, based on the process-oriented paradigm. The simulator provides a test bed for checking the validity and the robustness of the policy computed by the optimisation module. The case study of the Contship La Spezia Container Terminal, located in the Mediterranean Sea in Italy, is examined. |
Cited by 105 - Google Scholar
@Article{gambardella98a,
author = {Luca Maria Gambardella and Andrea E. Rizzoli and
Marco Zaffalon},
title = {Simulation and Planning of an Intermodal Container
Terminal},
journal = {Simulation},
year = 1998,
volume = 71,
pages = {107--116},
abstract = {A decision support system for the management of an
intermodal container terminal is presented. Among
the problems to be solved, there are the spatial
allocation of containers on the terminal yard, the
allocation of resources and the scheduling of
operations in order to maximise a performance
function based on some economic indicators. These
problems are solved using techniques from
optimisation, like job-shop scheduling, genetic
algorithms or mixed-integer linear programming. At
the terminal, the same problems are usually solved
by the terminal manager, only using his/her
experience. The manager can trust computer generated
solutions only by validating them by means of a
simulation model of the terminal. Thus, the
simulation tool also becomes a means to introduce
new approaches into traditional settings. In the
present paper we focus on the resource allocation
problem. We describe our modules for the
optimisation of the allocation process and for the
simulation of the terminal. The former is based on
integer linear programming; the latter is a discrete
event simulation tool, based on the process-oriented
paradigm. The simulator provides a test bed for
checking the validity and the robustness of the
policy computed by the optimisation module. The case
study of the Contship La Spezia Container Terminal,
located in the Mediterranean Sea in Italy, is
examined. },
cluster = {748925380254050331},
url = {http://jmvidal.cse.sc.edu/library/gambardella98a.pdf}
}
Last modified: Wed Mar 9 10:14:38 EST 2011