DocumentCode
2876206
Title
A Planning Tool for Minimizing Reshuffles in Container Terminals
Author
Salido, Miguel A. ; Sapena, Oscar ; Rodriguez, Mario ; Barber, Federico
Author_Institution
Inst. de Autom. e Inf. Ind., Univ. Politec. de Valencia, Valencia, Spain
fYear
2009
fDate
2-4 Nov. 2009
Firstpage
567
Lastpage
571
Abstract
One of the more important problems in container terminal is related to the container stacking problem. A container stack is a type of temporary store where containers await further transport by truck, train or vessel. The main efficiency problem for an individual stack is to ensure easy access to containers at the expected time of transfer. Since stacks are ´last-in, first-out´, and the cranes used to relocate containers within the stack are heavily used, the stacks must be maintained in a state that minimizes on-demand relocations. In this paper, we present a new domain-dependent planning heuristic for finding the best configuration of containers in a bay. Thus, given a set of outgoing containers, our planner minimizes the number of relocations of containers in order to allocate all selected containers in an appropriate order to avoid further reshuffles.
Keywords
containerisation; containers; facilities planning; stacking; container stacking problem; container terminals; cranes; domain dependent planning heuristic; on-demand relocations; planning tool; reshuffling minimization; Artificial intelligence; Batteries; Containers; Cranes; Marine vehicles; Poles and towers; Productivity; Stability; Stacking; Throughput; container terminals; logistic; planning and scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 2009. ICTAI '09. 21st International Conference on
Conference_Location
Newark, NJ
ISSN
1082-3409
Print_ISBN
978-1-4244-5619-2
Electronic_ISBN
1082-3409
Type
conf
DOI
10.1109/ICTAI.2009.53
Filename
5366964
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