Research on Logistics Network Infrastructure Based on HCA and DEA-PCA Approach

被引:4
|
作者
Jiang, Changbing [1 ]
机构
[1] Zhejiang Gongshang Univ, Coll Informat Management, Hangzhou, Zhejiang, Peoples R China
关键词
logistics network infrastructure; performance; hierarchical cluster analysis; data envelopment analysis; principal component analysis;
D O I
10.4304/jcp.5.4.533-540
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Logistics Network Infrastructure (LNI) is an important area of Logistics Infrastructure Capability (LIC). The connotation of LNI is analyzed in this paper. Compared with the extensive research on LNI in developed world, empirical work is still rare in China. In this paper the theory of LNI is firstly overviewed. Then a new evaluation index system for LNI evaluation is set up which contains factors that reflect economic development level, transportation accessibility and turnover volume of freight traffic. Thirdly, an empirical study is carried out by using Hierarchical Cluster Analysis (HCA), Data Envelopment Analysis (DEA) and Principal Component Analysis (PCA) approach to classify LNI into 4 clusters for 25 cities in Yangtze River Delta Region of China. Fourthly, according to the characteristics of the 4 clusters, suggestions are proposed for improving their LNI. Finally, after comparing different LNI of 25 cities in Yangtze River Delta Region of China, this paper focuses on that different LNI including Hub, Central Distribution Center & Cross Docking Center, Regional Distribution Center or Distribution Center should be build reasonably in order to meet the customer's requirement in the 4 different cluster cities.
引用
收藏
页码:533 / 540
页数:8
相关论文
共 50 条
  • [1] Research on Logistics Network Infrastructures Based on DEA-PCA Approach:Evidence from the Yangtze River Delta Region in China
    琚春华
    蒋长兵
    陈明瑶
    [J]. Journal of Shanghai Jiaotong University(Science), 2012, 17 (01) : 98 - 107
  • [2] Research on logistics network infrastructures based on dea-pca approach: Evidence from the yangtze river delta region in china
    Ju C.-H.
    Jiang C.-B.
    Chen M.-Y.
    [J]. Journal of Shanghai Jiaotong University (Science), 2012, 17 (1) : 98 - 107
  • [3] Assessing Economic Freedom: DEA-PCA Approach
    Nezinsky, Eduard
    Fifekova, Elena
    Valachova, Andrea
    [J]. VISION 2020: SUSTAINABLE ECONOMIC DEVELOPMENT, INNOVATION MANAGEMENT, AND GLOBAL GROWTH, VOLS I-IX, 2017, 2017, : 1897 - 1907
  • [4] Evaluating Efficiency and Effectiveness of Logistics Infrastructure Based on PCA-DEA Approach in China
    Jiang, Changbing
    Fu, Peihua
    [J]. ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL III, PROCEEDINGS, 2009, : 62 - 66
  • [5] MULTI CRITERIA QUALITY ASSESSMENT OF PRODUCTS BY INTEGRATED DEA-PCA APPROACH
    Azadeh, A.
    Ghaderi, S. F.
    Ahmadabad, M. Fazli
    [J]. INTERNATIONAL JOURNAL OF RELIABILITY QUALITY & SAFETY ENGINEERING, 2007, 14 (03): : 201 - 218
  • [6] Research on the Development of Industrial Upgrading Based on PCA/DEA
    Lin Chen-yan
    Yu Li-ying
    [J]. 2013 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING (ICMSE), 2013, : 1196 - 1202
  • [7] Performance Evaluation Based on DEA/PCA Model of Logistics Industry in Shandong Province
    Liu, Lu
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON EDUCATION, MANAGEMENT, INFORMATION AND MEDICINE (EMIM 2015), 2015, 8 : 816 - 821
  • [8] Research Of Logistics Center Location Based On DEA And SFA
    Tao, Weiwen
    Bo, Lixiang
    Denghua
    [J]. 2008 INTERNATIONAL SEMINAR ON FUTURE INFORMATION TECHNOLOGY AND MANAGEMENT ENGINEERING, PROCEEDINGS, 2008, : 599 - 603
  • [9] Empirical Research on Logistics Enterprises Efficiency Based on DEA
    Shi Lan
    Wu Guangwei
    [J]. PROCEEDINGS OF 2013 INTERNATIONAL SYMPOSIUM - INTERNATIONAL MARKETING SCIENCE AND INFORMATION TECHNOLOGY, 2013, : 301 - 306
  • [10] Reverse logistics enterprise performance research based on super-efficiency DEA and LMBP neural network
    Pan, Junlin
    Li, Guanliang
    Luo, Haiyan
    [J]. Journal of Physics: Conference Series, 2021, 2025 (01):