ZHU Jin-fu, LIU Feng, GAO Qiang. Analysing method of customer segmentation and customer value of air cargo[J]. Journal of Traffic and Transportation Engineering, 2005, 5(2): 73-76.
Citation: ZHU Jin-fu, LIU Feng, GAO Qiang. Analysing method of customer segmentation and customer value of air cargo[J]. Journal of Traffic and Transportation Engineering, 2005, 5(2): 73-76.

Analysing method of customer segmentation and customer value of air cargo

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  • Author Bio:

    Zhu Jin-fu(1955-), male, professor, 86-25-84895388, Zhujf@nuaa.edu.cn

  • Received Date: 2004-08-10
  • Publish Date: 2005-06-25
  • In order to make air cargo company obtain and keep its valuable customers, the cargo customers were classified into eight types according to customer value and fathfulness, the relative marketing strategies were put forward in view of that cargo customers were mainly cargo (agents.) The influence of flight load ratio on customer value was introduced into the existing customer value formulation to make it suitable for air cargo customer segmentation. An example shows that air cargo customer values have a difference when flight load ratio is considered and is not introduced, the difference is about 1/3, so the model can calculate the customer value and classify customers more properly, the model is feasible.

     

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  • [1]
    刘少成. 中国航空货运业发展中的矛盾及解决对策[J]. 民航经济与技术, 1997, 16(11): 9-11. https://www.cnki.com.cn/Article/CJFDTOTAL-MHJJ199711002.htm

    Liu Shao-cheng. Conflict in development of air cargo industry and its solving policy[J]. Civil Aviation Economics and Technology, 1997, 16(11): 9-11. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-MHJJ199711002.htm
    [2]
    杨高榕. 厦门航空公司物流发展战略研究[D]. 南京: 南京航空航天大学, 2004.
    [3]
    徐双应. 公路货运站网络系统及运作模式[J]. 交通运输工程学报, 2004, 4(3): 69-72. http://transport.chd.edu.cn/article/id/200403016

    Xu Shuang-ying. Network system and operation models of freight transportation[J]. Journal of Traffic and Transportation Engineering, 2004, 4(3): 69-72. (in Chinese) http://transport.chd.edu.cn/article/id/200403016
    [4]
    卜雷, 尹传忠, 蒲云. 优化普零货物拼箱配装的遗传算法[J]. 交通运输工程学报, 2004, 4(4): 84-87. http://transport.chd.edu.cn/article/id/200404021

    Bu Lei, Yin Chuan-zhong, Pu Yun. Genetic algorithm for optimal arrangement of general piece goods[J]. Journal of Traffic and Transportation Engineering, 2004, 4(4): 84-87. (in Chinese) http://transport.chd.edu.cn/article/id/200404021
    [5]
    郑士源, 姚祖洪. 国际干散货航运市场的评价[J]. 交通运输工程学报, 2004, 4(4): 88-92. http://transport.chd.edu.cn/article/id/200404022

    Zheng Shi-yuan, Yao Zu-hong. Evaluation of international dry bulk shipping market[J]. Journal of Traffic and Transportation Engineering, 2004, 4(4): 88-92. (in Chinese) http://transport.chd.edu.cn/article/id/200404022
    [6]
    Liu Feng, Zhu Jin-fu. Study and implementation of CRM in Chinese air cargo industry[A]. 2003' NUAA-HAU Joint Symposium[C]. Nanjing: NUAA Printer, 2003.
    [7]
    肖林玲. 我国航空货运发展战略研究[D]. 武汉: 武汉理工大学, 2002.
    [8]
    朱金福, 刘凤. 航空货运CRM数据仓库设计和OLAP分析[J]. 空运商务, 2005, 4(3): 14-17.

    Zhu Jin-fu, Liu Feng. Data warehouse design and OLAP analysis for air cargo CRM[J]. Air Transport and Business, 2005, 4(3): 14-17. (in Chinese)
    [9]
    刘凤, 朱金福. 应用数据仓库技术实现航空货运客户关系管理[A]. 交通运输研究与探索[C]. 北京: 人民交通出版社, 2003.
    [10]
    帕翠珊B希伯尔德, 罗尼T马萨克. 客户关系管理理念与实例[M]. 北京: 机械工业出版社, 2001.
    [11]
    陈远高. 基于数据挖掘的客户价值管理研究[D]. 杭州: 浙江大学, 2002.
    [12]
    陈秋双, 刘东红, 李红星. 基于数据仓库的客户分析系统的分析与设计[J]. 计算机工程与应用, 2001, 38(14): 88-90. https://www.cnki.com.cn/Article/CJFDTOTAL-JSGG200114029.htm

    Chen Qiu-shuang, Liu Dong-hong, Li Hong-xing. Analysis and design of data warehouse-based customer analysis system[J]. Computer Engineering and Applications, 2001, 38(14): 88-90. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JSGG200114029.htm
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