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
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;
Conference_Titel :
Tools with Artificial Intelligence, 2009. ICTAI '09. 21st International Conference on
Conference_Location :
Newark, NJ
Print_ISBN :
978-1-4244-5619-2
Electronic_ISBN :
1082-3409
DOI :
10.1109/ICTAI.2009.53