### Abstract

Original language | Undefined |
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Title of host publication | Container Terminals and Automated Transport Systems |

Editors | H.O. Günther, K.H. Kim |

Place of Publication | Berlin |

Publisher | Springer |

Pages | 287-306 |

Number of pages | 20 |

ISBN (Print) | 978-3-540-22328-3 |

DOIs | |

State | Published - 2005 |

### Publication series

Name | |
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Publisher | Springer Verlag |

### Fingerprint

### Keywords

- IR-62906
- METIS-224431
- Transportation - Scheduling - Modeling - Heuristic
- EWI-3742
- MSC-90B35

### Cite this

*Container Terminals and Automated Transport Systems*(pp. 287-306). Berlin: Springer. DOI: 10.1007/3-540-26686-0_12

}

*Container Terminals and Automated Transport Systems.*Springer, Berlin, pp. 287-306. DOI: 10.1007/3-540-26686-0_12

**Modeling of capacitated transportation systems for integral scheduling.** / Ebben, Mark; van der Heijden, Matthijs C.; Hurink, Johann L.; Schutten, Johannes M.J.

Research output: Scientific - peer-review › Chapter

TY - CHAP

T1 - Modeling of capacitated transportation systems for integral scheduling

AU - Ebben,Mark

AU - van der Heijden,Matthijs C.

AU - Hurink,Johann L.

AU - Schutten,Johannes M.J.

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 - IR-62906

KW - METIS-224431

KW - Transportation - Scheduling - Modeling - Heuristic

KW - EWI-3742

KW - MSC-90B35

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

PB - Springer

ER -