Research on Characters of Operations in EMS Base on Clustering Techniques

Author

Luo, Jin-Yao ; Shao, Pei-Ji ; Luo, Bin

Author_Institution

Sch. of Manage. & Econ., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

Volume

2

fYear

2009

fDate

21-22 May 2009

Firstpage

217

Lastpage

220

Abstract

EMS service is an important operation in China Post and is growing fast in the past years. At the same time, there are tremendous competitions for EMS service, which requires China Post to improve on present service based on well knowing the characters of the service. In this study, different clustering models are built by using different clustering techniques of K-means algorithm and two-step method and confirming number of the clusters as 2 and 4, then the characters of the clusters are analyzed, in particular, the general characters of the all EMS services are pointed out, finally, some advices are put forward.

Keywords

pattern clustering; postal services; China Post; EMS service; K-means algorithm; character analysis; clustering technique; two-step method; Algorithm design and analysis; Character recognition; Clustering algorithms; Conference management; Consumer electronics; Customer service; Data mining; Marketing management; Medical services; Technology management; EMS service; K-means algorithm; Two-Step;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Computing Science, 2009. ICIC '09. Second International Conference on

Conference_Location

Manchester

Print_ISBN

978-0-7695-3634-7

Type

conf

DOI

10.1109/ICIC.2009.164

Filename

5169048