Name
Abstract | ||
|---|---|---|
Maritime terminals of pure transhipment are emerging logistic realities in long-distance containerized trade. Here, complex activities of resource allocation and scheduling should be optimized in a dynamic, non deterministic environment. The assignment of expensive quay cranes to multiple vessel-holds for container discharging and loading operations is a major problem, whose solution affects the operational performance of the whole terminal container. In OR literature, this problem is known as the quay crane scheduling problem. With the objective of minimizing the vessel's overall completion time, we first give our IP formulation and then, under the more realistic assumption that discharge-loading times are non deterministic, we focus on a simulation-based optimization approach which embodies the IP formulation. Two different simulation optimization algorithms are tailored to the problem: simulated annealing and adaptive balanced explorative and exploitative search. Preliminary numerical results are presented on real vessel data. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/WSC.2008.4736389 | Winter Simulation Conference |
Keywords | Field | DocType |
simulation-based optimization,real vessel data,non deterministic environment,expensive quay crane,major problem,container discharging,ip formulation,simulation-based optimization approach,quay crane scheduling problem,non deterministic,different simulation optimization algorithm,resource allocation,simulation,scheduling,scheduling problem,transhipment,transportation,mean squared error,simulated annealing | Transshipment,Simulated annealing,Mathematical optimization,Computer science,Scheduling (computing),Simulation,Simulation-based optimization,Operational performance,Mean squared error,Resource allocation,Crane scheduling | Conference |
ISBN | Citations | PageRank |
978-1-4244-2708-6 | 10 | 1.11 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pasquale Legato | 1 | 282 | 20.44 |
| Rina Mary Mazza | 2 | 93 | 9.72 |
| Roberto Trunfio | 3 | 79 | 5.17 |