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An Integrated Strategy for Cost Optimization of Reverse Logistics Network Under Uncertain Environment

Received: 19 October 2016     Accepted: 7 November 2016     Published: 29 December 2016
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Abstract

In uncertain environment, it is very difficult to optimize both cost and performance in complex reverse logistics network. This paper develops an integrated strategy to solve the cost optimization problem in reverse logistics network. First, the integrated scheme is based on the fuzzy AHP, where the cost coefficient and the demand quantities are modeled as fuzzy numbers to measure different uncertain factors. Second, the linear programming is introduced for cost optimization to calculate the operational objective function of the reverse logistics network. Third, some experiments are made to verify the proposed model. According to different uncertain factors, the optimal cost strategy can be constructed for uncertain use demand. Last, some interesting conclusions are drawn on the proposed method for decision makers to optimize the cost of the reverse logistics network, and future work direction is also provided.

Published in International Journal of Economics, Finance and Management Sciences (Volume 5, Issue 1)
DOI 10.11648/j.ijefm.20170501.13
Page(s) 24-33
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), 2016. Published by Science Publishing Group

Keywords

Reverse Logistics Network, Cost Optimization, Fuzzy AHP, Linear Programming

References
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Cite This Article
  • APA Style

    Yunzhi Ma, Liyun Zhang, Xianglin Lv, Zhengying Cai. (2016). An Integrated Strategy for Cost Optimization of Reverse Logistics Network Under Uncertain Environment. International Journal of Economics, Finance and Management Sciences, 5(1), 24-33. https://doi.org/10.11648/j.ijefm.20170501.13

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    ACS Style

    Yunzhi Ma; Liyun Zhang; Xianglin Lv; Zhengying Cai. An Integrated Strategy for Cost Optimization of Reverse Logistics Network Under Uncertain Environment. Int. J. Econ. Finance Manag. Sci. 2016, 5(1), 24-33. doi: 10.11648/j.ijefm.20170501.13

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    AMA Style

    Yunzhi Ma, Liyun Zhang, Xianglin Lv, Zhengying Cai. An Integrated Strategy for Cost Optimization of Reverse Logistics Network Under Uncertain Environment. Int J Econ Finance Manag Sci. 2016;5(1):24-33. doi: 10.11648/j.ijefm.20170501.13

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  • @article{10.11648/j.ijefm.20170501.13,
      author = {Yunzhi Ma and Liyun Zhang and Xianglin Lv and Zhengying Cai},
      title = {An Integrated Strategy for Cost Optimization of Reverse Logistics Network Under Uncertain Environment},
      journal = {International Journal of Economics, Finance and Management Sciences},
      volume = {5},
      number = {1},
      pages = {24-33},
      doi = {10.11648/j.ijefm.20170501.13},
      url = {https://doi.org/10.11648/j.ijefm.20170501.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijefm.20170501.13},
      abstract = {In uncertain environment, it is very difficult to optimize both cost and performance in complex reverse logistics network. This paper develops an integrated strategy to solve the cost optimization problem in reverse logistics network. First, the integrated scheme is based on the fuzzy AHP, where the cost coefficient and the demand quantities are modeled as fuzzy numbers to measure different uncertain factors. Second, the linear programming is introduced for cost optimization to calculate the operational objective function of the reverse logistics network. Third, some experiments are made to verify the proposed model. According to different uncertain factors, the optimal cost strategy can be constructed for uncertain use demand. Last, some interesting conclusions are drawn on the proposed method for decision makers to optimize the cost of the reverse logistics network, and future work direction is also provided.},
     year = {2016}
    }
    

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  • TY  - JOUR
    T1  - An Integrated Strategy for Cost Optimization of Reverse Logistics Network Under Uncertain Environment
    AU  - Yunzhi Ma
    AU  - Liyun Zhang
    AU  - Xianglin Lv
    AU  - Zhengying Cai
    Y1  - 2016/12/29
    PY  - 2016
    N1  - https://doi.org/10.11648/j.ijefm.20170501.13
    DO  - 10.11648/j.ijefm.20170501.13
    T2  - International Journal of Economics, Finance and Management Sciences
    JF  - International Journal of Economics, Finance and Management Sciences
    JO  - International Journal of Economics, Finance and Management Sciences
    SP  - 24
    EP  - 33
    PB  - Science Publishing Group
    SN  - 2326-9561
    UR  - https://doi.org/10.11648/j.ijefm.20170501.13
    AB  - In uncertain environment, it is very difficult to optimize both cost and performance in complex reverse logistics network. This paper develops an integrated strategy to solve the cost optimization problem in reverse logistics network. First, the integrated scheme is based on the fuzzy AHP, where the cost coefficient and the demand quantities are modeled as fuzzy numbers to measure different uncertain factors. Second, the linear programming is introduced for cost optimization to calculate the operational objective function of the reverse logistics network. Third, some experiments are made to verify the proposed model. According to different uncertain factors, the optimal cost strategy can be constructed for uncertain use demand. Last, some interesting conclusions are drawn on the proposed method for decision makers to optimize the cost of the reverse logistics network, and future work direction is also provided.
    VL  - 5
    IS  - 1
    ER  - 

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Author Information
  • College of Computer and Information Technology, China Three Gorges University, Yichang, China

  • College of Economics and Management, China Three Gorges University, Yichang, China

  • College of Computer and Information Technology, China Three Gorges University, Yichang, China

  • College of Computer and Information Technology, China Three Gorges University, Yichang, China

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