Volume 8 Number 5 (May 2013)
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JSW 2013 Vol.8(5): 1201-1208 ISSN: 1796-217X
doi: 10.4304/jsw.8.5.1201-1208

Quay Crane Allocation of Container Terminal Based on Cluster Analysis

Yu Wang1, 2, Youfang Huang1, Huiqiang Zheng2, Daofang Chang1
1Container Supply Chain Technology Engineering Research Center of MOE, Shanghai Maritime University, Shanghai, 201306, P. R. China
2College of Mechanical Engineering, Tongji University, Shanghai, 201804, P. R. China

AbstractQuay crane allocation is one of the most important scheduling plans in the container terminal. A large of production data is stored in the database of the terminal. This paper utilizes the method of data mining to analyze the problem of quay crane allocation by using these data. From the mining, valuable information has been gotten from the database. The paper chooses the fuzzy cmeans cluster algorithms to study the data of quay crane allocation in database. Data mining model of quay crane allocation has been designed by learning plan of quay crane in order to improve the production efficiency of container terminals. And the case study shows that the method using in the paper is effective.

Index TermsContainer terminal, quay crane allocation, fuzzy c-means algorithms, cluster analysis.


Cite: Yu Wang, Youfang Huang, Huiqiang Zheng, Daofang Chang, "Quay Crane Allocation of Container Terminal Based on Cluster Analysis," Journal of Software vol. 8, no. 5, pp. 1201-1208, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly 
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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