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

Yunzhi Ma; Liyun Zhang; Xianglin Lv; Zhengying Cai

doi:doi:10.11648/j.ijefm.20170501.13

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

Yunzhi Ma, Liyun Zhang, Xianglin Lv, Zhengying Cai

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.

DOI	10.11648/j.ijefm.20170501.13
Published in	International Journal of Economics, Finance and Management Sciences (Volume 5, Issue 1, February 2017)
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), 2024. Published by Science Publishing Group

Keywords

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

References

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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

Yunzhi Ma

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

College of Economics and Management, China Three Gorges University, Yichang, China
Xianglin Lv

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

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

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Plain Text BibTeX RIS

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

Copy | Download

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

Copy | Download

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

Copy | Download

@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}
}

Copy | Download

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  -

Copy | Download