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

In: Liss 2014

Author

Listed:
  • Bin Yang

    (Shanghai Maritime University)

  • Weishan Sun

    (Shanghai Maritime University)

  • Yong Li

    (Shanghai Maritime University)

  • Zhihua Hu

    (Shanghai Maritime University)

  • Jiankun Hu

    (Shanghai Maritime University)

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.

Suggested Citation

  • Bin Yang & Weishan Sun & Yong Li & Zhihua Hu & Jiankun Hu, 2015. "Multi-objective Based Fuzzy Mathematical Programming Model for Green Logistics Network Design Under Uncertainty," Springer Books, in: Zhenji Zhang & Zuojun Max Shen & Juliang Zhang & Runtong Zhang (ed.), Liss 2014, edition 127, pages 1399-1406, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-43871-8_202
    DOI: 10.1007/978-3-662-43871-8_202
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