集装箱班轮联营系统协同测度方法与实证

交通运输系统工程与信息 ›› 2013, Vol. 13 ›› Issue (6): 112-119.

集装箱班轮联营系统协同测度方法与实证

陈继红^*1a，胡志华^1b，何新华^1c，韩玲冰²

1.上海海事大学 a.交通运输学院，b.物流研究中心，c.经济管理学院，上海 201306；2.上海市交通港航发展研究中心，上海 200025

收稿日期:2012-11-01 修回日期:2013-03-14 出版日期:2013-12-24 发布日期:2014-01-14
作者简介:陈继红（1981-），男，湖北黄冈人，博士，讲师.
基金资助:
国家自然科学基金项目（71101088；71102043）；上海市重点学科建设项目（S30601）；上海高校青年教师培养资助计划项目（SHS11016）.

Synergy Evaluation Method and Empirical Application for Joint-Service System of Containerized Liner Shipping

CHEN Ji-hong^1a,HU Zhi-hua^1b,HE Xin-hua^1c, HAN Ling-bing²

1. a. College of Transport and Communications; b. Logistics Research Center; c. School of Economics & Management, Shanghai Maritime University, Shanghai 201306, China; 2. Shanghai Transport & Port Research Center, Shanghai 200025, China

Received:2012-11-01 Revised:2013-03-14 Online:2013-12-24 Published:2014-01-14

摘要/Abstract

摘要：

针对集装箱班轮联营系统的协同运作绩效问题，本文提出相应协同测度方法和模型，并进行实证应用研究.结合国际航运实际，应用协同理论方法，确定集装箱班轮联营系统协同机制框架，选取班轮联营实际运作指标，构建协同测度模型和评价体系，并以协同度来度量集装箱班轮联营系统的协同状况.以典型的CKYH集装箱班轮联营系统为实证案例，对该问题进行方法和模型的验证.研究结果表明，集装箱班轮联营系统协同度体现在系统各构成部分和系统要素的相互作用中，方法和模型能够有效地测度联营系统协同状况，研究结果符合航运实际，检验了该方法和模型的有效性.

关键词: 水路运输, 集装箱班轮, 协同测度, 联营系统

Abstract:

Focusing on the problem of synergy operation performance of joint-service system of containerized liner shipping, this paper puts forward corresponding synergy evaluation method and models with empirical examples. In view of the international shipping business status, it establishes the synergy mechanism framework of joint-service system of containerized liner shipping through the synergy theory and method. It selects associated operation indexes for joint service of liner shipping, and formulates synergy evaluation models and the evaluation system. Moreover, the synergy degree is used to measure the synergistic effect of joint-service system of containerized liner shipping. The typical CKYH joint-service system of containerized liner shipping is taken as an example for case study to verify the method and models. The results show that the synergy degree of joint-service system of containerized liner shipping system is reflected in the interaction of the each component and elements of the system. The proposed method can effectively measure the synergy status of the joint-service system. The case study results are also consistent with the actual practice of shipping, which examines the validity of the method.

Key words: waterway transportation, containerized liner shipping, synergy evaluation, joint-service system

中图分类号:

U692.3

陈继红，胡志华，何新华，韩玲冰. 集装箱班轮联营系统协同测度方法与实证[J]. 交通运输系统工程与信息, 2013, 13(6): 112-119.

CHEN Ji-hong,HU Zhi-hua,HE Xin-hua, HAN Ling-bing. Synergy Evaluation Method and Empirical Application for Joint-Service System of Containerized Liner Shipping[J]. Journal of Transportation Systems Engineering and Information Technology, 2013, 13(6): 112-119.

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链接本文: http://www.tseit.org.cn/CN/abstract/abstract18687.shtml

http://www.tseit.org.cn/CN/Y2013/V13/I6/112

参考文献

[1]Haken H. Information and self-orgnazation[M]. Berlin: Springer,1987.

[2]Gajda R. Utilizing collaboration theory to evaluate strategic alliances[J]. American Journal of Evaluation, 2004,25(1):65-77.

[3]Stank T P, Keller S B, Daugherty P J. Supply chain collaboration and logistics service performance[J]. Journal of Business Logistics, 2001,22(1):29-48.

[4]Yann Alix, Brian Slack, Claude Comtois. Alliance or acquisition? Strategies for growth in the container shipping industry, the case of CP ships[J]. Journal of Transport Geography,1999,7(3):203-208.

[5]Pierre C. Strategic alliances in liner shipping: An analysis of “operational synergies”[D]. Nantes :Laboratoired Economie de Nantes – CORRAIL University of Nantes, 2000.

[6]Brian Slackc,Claude Comtois,Robert Mccalla. Strategic alliance in the container shipping industry: A global perspective[J]. Maritime Policy & Management, 2002, 29(1):65-76.

[7]Xiaoning Shi, Stefan Voss. Iterated cooperation and possible deviations between liner shipping carriers based on noncooperative game theory[J]. Journal of the Transportation Research Board,2008:60-70.

[8]Pierre Cariou. Liner shipping strategies: An overview[J]. International Journal of Ocean Systems Management,2008,1(1):2-13.

[9]Lun Y H V, Lai K H, Cheng T C E. A descriptive framework for the development and operation of liner shipping networks[J].Transport Roviews， 2009,29(4):439-457.

[10]陈继红, 真虹, 宗蓓华. 基于交易费用的航运组织制度演进机理[J]. 交通运输工程学报, 2009, 9（4）:92-97.[CHEN J H, ZHEN H, ZONG B H. Institutional evolution mechanism of shipping organization based on transaction cost[J]. Journal of Traffic and Transportation Engineering, 2009,9（4）:92-97.]

[11]Photis M Panayides,Robert Wiedmer.Strategic alliances in container liner shipping[J]. Research in Transportation Economics,2011,32(1):25-38.

[12]Dong Yang, Miaojia Liu, Xiaoning Shi.Verifying liner shipping alliance’s stability by applying core theory [J]. Research in Transportation Economics, 2011, 32(1):15-24.

[13]伍进. 现代系统科学方法论及应用——优化方法与探索复杂性[M]. 成都：电子科技大学出版社, 2005. [WU J, The modern system science methodology-optimization methods and exploring complexity[ M]. Chengdu: University of Electronic Science and Technology Press,2005.]

[14]席酉民.和谐管理理论研究[M]. 西安:西安交通大学出版社, 2006. [XI Y M. Study on harmonious management theory[M ]. Xi’an:Xi’an Jiao Tong University press,2006.]

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