American Journal of Theoretical and Applied Statistics

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Research on Construction of the Green Logistics Evaluation Index System and Determination of Index Weight

Received: 01 July 2014    Accepted: 16 July 2014    Published: 30 July 2014
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Abstract

The evaluation index system of green logistics development is the focus of this paper. Through the questionnaire investigation and expert scoring method obtains the judgment matrix. By using the analytic hierarchy process and fuzzy comprehensive evaluation method establishes the weight of each index. The conclusion of this paper would lay the foundation for the theory and method of green logistics statistical evaluation.

DOI 10.11648/j.ajtas.20140304.13
Published in American Journal of Theoretical and Applied Statistics (Volume 3, Issue 4, July 2014)
Page(s) 96-99
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Green Logistics, Logistics Statistics, AHP, Fuzzy Comprehensive Evaluation, Weight

References
[1] Kwok Hung Lau, “Benchmarking green logistics performance with a composite index”, Benchmarking, 2011, 18(6), pp.873-896.
[2] Ilsuk Kim, Hokey Min, “Measuring supply chain efficiency from a green perspective”, Management Research Review, 2011, 34(11), pp. 1169-1189.
[3] Benjamin T. Hazen, Casey Cegielski, “Diffusion of green supply chain management: Examining perceived quality of green reverse logistics”, The International Journal of Logistics Management, 2011, 22(3), pp.373-389.
[4] Maria Bjo¨rklund, Uni Martinsen, Mats Abrahamsson, “Performance measurements in the greening of supply chains”, Supply Chain Management, 2012, 17(1), pp. 29–39.
[5] Karin Isaksson, Maria Huge-Brodin, “Understanding efficiencies behind logistics service providers’ green offerings”, Management Research Review, 2013, 36(3), pp. 216-238.
[6] Huang XiaoWei, “Study on evaluation and countermeasures of low carbon development level of city -- Chengdu City as an example”, Chengdu: Chengdu Institute of Technology,2012.
Author Information
  • School of Information, Beijing Wuzi University, Beijing, China

  • School of Information, Beijing Wuzi University, Beijing, China

  • School of Information, Beijing Wuzi University, Beijing, China

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  • APA Style

    Li Zhou, Jie Zhu, Jian Guo. (2014). Research on Construction of the Green Logistics Evaluation Index System and Determination of Index Weight. American Journal of Theoretical and Applied Statistics, 3(4), 96-99. https://doi.org/10.11648/j.ajtas.20140304.13

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    ACS Style

    Li Zhou; Jie Zhu; Jian Guo. Research on Construction of the Green Logistics Evaluation Index System and Determination of Index Weight. Am. J. Theor. Appl. Stat. 2014, 3(4), 96-99. doi: 10.11648/j.ajtas.20140304.13

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    AMA Style

    Li Zhou, Jie Zhu, Jian Guo. Research on Construction of the Green Logistics Evaluation Index System and Determination of Index Weight. Am J Theor Appl Stat. 2014;3(4):96-99. doi: 10.11648/j.ajtas.20140304.13

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  • @article{10.11648/j.ajtas.20140304.13,
      author = {Li Zhou and Jie Zhu and Jian Guo},
      title = {Research on Construction of the Green Logistics Evaluation Index System and Determination of Index Weight},
      journal = {American Journal of Theoretical and Applied Statistics},
      volume = {3},
      number = {4},
      pages = {96-99},
      doi = {10.11648/j.ajtas.20140304.13},
      url = {https://doi.org/10.11648/j.ajtas.20140304.13},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajtas.20140304.13},
      abstract = {The evaluation index system of green logistics development is the focus of this paper. Through the questionnaire investigation and expert scoring method obtains the judgment matrix. By using the analytic hierarchy process and fuzzy comprehensive evaluation method establishes the weight of each index. The conclusion of this paper would lay the foundation for the theory and method of green logistics statistical evaluation.},
     year = {2014}
    }
    

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