Abstract
| Original language | English |
|---|---|
| Title of host publication | Container Terminals and Automated Transport Systems |
| Subtitle of host publication | Logistics Control Issues and Quantitative Decision Support |
| Editors | Hans-Otto Günther, Kap Hwan Kim |
| Place of Publication | Berlin |
| Publisher | Springer |
| Pages | 287-306 |
| Number of pages | 20 |
| ISBN (Electronic) | 978-3-540-26686-0 |
| ISBN (Print) | 978-3-540-22328-3 |
| DOIs | |
| Publication status | Published - 2005 |
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Keywords
- MSC-90B35
- Modeling
- Transportation
- Scheduling
- Heuristic
Cite this
}
Modeling of capacitated transportation systems for integral scheduling. / Ebben, Mark; van der Heijden, Matthijs C.; Hurink, Johann; Schutten, Marco.
Container Terminals and Automated Transport Systems: Logistics Control Issues and Quantitative Decision Support. ed. / Hans-Otto Günther; Kap Hwan Kim. Berlin : Springer, 2005. p. 287-306.Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
TY - CHAP
T1 - Modeling of capacitated transportation systems for integral scheduling
AU - Ebben, Mark
AU - van der Heijden, Matthijs C.
AU - Hurink, Johann
AU - Schutten, Marco
PY - 2005
Y1 - 2005
N2 - Motivated by a planned automated cargo transportation network, we consider transportation problems in which the finite capacity of resources (such as vehicles, docks, parking places) has to be taken into account. For such problems, it is often even difficult to construct a good feasible solution. We present a flexible modeling methodology which allows to construct, evaluate, and improve feasible solutions. This new modeling approach is evaluated on instances stemming from a simulation model of the planned cargo transportation system.
AB - Motivated by a planned automated cargo transportation network, we consider transportation problems in which the finite capacity of resources (such as vehicles, docks, parking places) has to be taken into account. For such problems, it is often even difficult to construct a good feasible solution. We present a flexible modeling methodology which allows to construct, evaluate, and improve feasible solutions. This new modeling approach is evaluated on instances stemming from a simulation model of the planned cargo transportation system.
KW - MSC-90B35
KW - Modeling
KW - Transportation
KW - Scheduling
KW - Heuristic
U2 - 10.1007/3-540-26686-0_12
DO - 10.1007/3-540-26686-0_12
M3 - Chapter
SN - 978-3-540-22328-3
SP - 287
EP - 306
BT - Container Terminals and Automated Transport Systems
A2 - Günther, Hans-Otto
A2 - Kim, Kap Hwan
PB - Springer
CY - Berlin
ER -