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Multi-objective Based Fuzzy Mathematical Programming Model for Green Logistics Network Design Under Uncertainty

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LISS 2014

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Abstract

Current environmental issues are reflected in the environmental legislation of several countries. Because of the significance of environmental issues, enterprises actively seek ways in which to reduce CO2 emission across the logistics network Elhedhli and Merrick; Transp Res Part D 17(5):370–379, 2012. This paper develops a multi-objective fuzzy programming model for designing a strategic green logistics network under uncertainty, which aims to minimize the total cost and the CO2 emissions. Besides, to solve the multi-objective fuzzy model, an interactive fuzzy solution approach is applied. The case study indicates the applicability of the model and the usefulness of the solution method.

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Reference

  • Elhedhli S, Merrick R (2012) Green supply chain network design to reduce carbon emissions. Transp Res Part D 17(5):370–379

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  • Jimenez M (1996) Ranking fuzzy numbers through the comparison of its expected intervals. Int J Uncertain, Fuzziness and Knowl-based Syst 4(4):379–388

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  • Jimenez M, Arenas M, Bilbao A, Rodriguez MV (2007) Linear programming with fuzzy parameters: an interactive method resolution. Eur J Operational Res 177:1599–1609

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Acknowledgement

This work was supported in part by National Natural Science Foundation of China (No.71171129) and Shanghai Science Commission Project (No.12510501600, 11510501900, 12dz1124802).

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Authors and Affiliations

  1. Logistics Research Center, Shanghai Maritime University, 201306, Shanghai, China

    Bin Yang, Weishan Sun, Yong Li, Zhihua Hu & Jiankun Hu

Authors
  1. Bin Yang
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  2. Weishan Sun
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  3. Yong Li
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  4. Zhihua Hu
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  5. Jiankun Hu
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Corresponding author

Correspondence to Weishan Sun .

Editor information

Editors and Affiliations

  1. School of Economics and Management, Beijing Jiaotong University, Beijing, Beijing, China

    Zhenji Zhang

  2. Department of Industrial Engineering and Operations Research, University of California, Berkeley, California, USA

    Zuojun Max Shen

  3. School of Economics and Management, Beijing Jiaotong University, Beijing, China

    Juliang Zhang

  4. School of Economics and Management, Beijing Jiaotong University, Beijing, Beijing, China

    Runtong Zhang

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Yang, B., Sun, W., Li, Y., Hu, Z., Hu, J. (2015). Multi-objective Based Fuzzy Mathematical Programming Model for Green Logistics Network Design Under Uncertainty. In: Zhang, Z., Shen, Z., Zhang, J., Zhang, R. (eds) LISS 2014. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43871-8_202

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