The Efficiency of Organic Vegetable Supply Chain - Analysis Based on Dynamic Network SBM Model

被引:0
|
作者
Zhang, Yarui [1 ,2 ]
机构
[1] Hubei Univ Arts & Sci, Sch Management, Xiangyang, Peoples R China
[2] Wuhan Univ Technol, Sch Management, Wuhan, Hubei, Peoples R China
来源
AGRO FOOD INDUSTRY HI-TECH | 2017年 / 28卷 / 01期
关键词
Dynamic network slack-based measurement; decision preference; supply chain; organic vegetable; DATA ENVELOPMENT ANALYSIS; DEA;
D O I
暂无
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Considering the structural characteristics and decision preference of the organic vegetable supply chain, this study applies three-division DNSBM (Dynamic Network Slack-based Measurement) model under the assumption of variable returns to scale. The overall efficiency, period efficiency and divisional efficiency are analysed based on a sample of 10 companies engaged in production and marketing of vegetable during 2012-2014. The main conclusions are as follows: firstly, the overall efficiency 10 DMUs is ineffective, and the organic vegetable supply chain of these 10 companies need to be improved further. Secondly, the efficiency of production division and marketing division are relatively lower. Thirdly, though period efficiency is ineffective, its score is increased year by year. This study corroborates that the DNSBM model is feasible to evaluate the efficiency of organic vegetable supply chain and applicable to research in other industries fields.
引用
收藏
页码:3207 / 3211
页数:5
相关论文
共 50 条
  • [1] Evaluation of Supply Chain Efficiency Based on a Novel Network of Data Envelopment Analysis Model
    Fu, Li Fang
    Meng, Jun
    Liu, Ying
    INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, 2015, 25 (14):
  • [2] Dynamic supply chain network analysis based on Z transformation
    Chen Jia
    Li Ye
    Chen Yan
    Proceedings of the 2006 International Conference on Management Science & Engineering (13th), Vols 1-3, 2006, : 613 - 617
  • [3] Evaluation to Power Corporations' Efficiency Based on Network SBM Model
    Yang, Yinsheng
    Cheng, Yun
    Guo, Changqing
    INFORMATION TECHNOLOGY APPLICATIONS IN INDUSTRY II, PTS 1-4, 2013, 411-414 : 2339 - 2342
  • [4] Simulation model establishment and analysis for dynamic supply chain network equilibrium
    Hu Xian-Wu
    Teng Chun-Xian
    ICCSSE 2009: PROCEEDINGS OF 2009 4TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION, 2009, : 445 - 450
  • [5] Measuring Endogenous Supply Chain Network Stability: A Dynamic Analysis Model
    Li, Chong
    JOURNAL OF GREY SYSTEM, 2014, 26 (02): : 132 - 141
  • [6] Measuring Endogenous Supply Chain Network Stability: A Dynamic Analysis Model
    Li, Chong
    PROCEEDINGS OF 2013 IEEE INTERNATIONAL CONFERENCE ON GREY SYSTEMS AND INTELLIGENT SERVICES (GSIS), 2013, : 522 - 526
  • [7] The Financing Efficiency of China's Industrial Listed Enterprises Based on the Dynamic-Network SBM Model
    Tan, Xianhua
    Zheng, Danting
    Zhu, Yuanyuan
    Na, Sanggyun
    SUSTAINABILITY, 2023, 15 (06)
  • [8] Dynamic model of a supply chain network with sticky price
    Zhaobo Chen
    Chunying Tian
    Ding Zhang
    Dongyan Chen
    Operational Research, 2020, 20 : 649 - 670
  • [9] Dynamic model of a supply chain network with sticky price
    Chen, Zhaobo
    Tian, Chunying
    Zhang, Ding
    Chen, Dongyan
    OPERATIONAL RESEARCH, 2020, 20 (02) : 649 - 670
  • [10] Dynamic optimization model of supply chain network based on stage demand characteristics
    Zhang, Lei
    Yan, Zhi-Qiang
    Ma, Lu
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2012, 18 (06): : 1263 - 1270