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Mathematical Problems in Engineering
Volume 2015, Article ID 548762, 14 pages
http://dx.doi.org/10.1155/2015/548762
Research Article

Simulation-Based Optimization for Storage Allocation Problem of Outbound Containers in Automated Container Terminals

1Logistics Engineering College, Shanghai Maritime University, 1550 Haigang Avenue, Shanghai 201306, China
2Container Supply Chain Technology Engineering Research Center, Shanghai Maritime University, 1550 Haigang Avenue, Shanghai 201306, China
3Logistics Research Center, Shanghai Maritime University, 1550 Haigang Avenue, Shanghai 201306, China
4Taicang Port SIPG ZHENGHE Container Terminal Co., Ltd., 8 North Circular Road, Taicang Port Area, Jiangsu 215438, China

Received 11 June 2015; Revised 25 August 2015; Accepted 2 September 2015

Academic Editor: Alessandro Gasparetto

Copyright © 2015 Ning Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Storage allocation of outbound containers is a key factor of the performance of container handling system in automated container terminals. Improper storage plans of outbound containers make QC waiting inevitable; hence, the vessel handling time will be lengthened. A simulation-based optimization method is proposed in this paper for the storage allocation problem of outbound containers in automated container terminals (SAPOBA). A simulation model is built up by Timed-Colored-Petri-Net (TCPN), used to evaluate the QC waiting time of storage plans. Two optimization approaches, based on Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), are proposed to form the complete simulation-based optimization method. Effectiveness of this method is verified by experiment, as the comparison of the two optimization approaches.