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Reverse Logistics Network Optimization Design under Fuzzy-stochastic Environment

In: Liss 2014

Author

Listed:
  • Jing Ye

    (Beijing Jiaotong University)

  • Xifu Wang

    (Beijing Jiaotong University)

  • Zhaoyun Li

    (Beijing Jiaotong University)

Abstract

Considering the uncertainty of reverse logistics of waste products, combine enterprise decision-making of periodic reverse logistics networks, this paper builds the forward and reverse integrated logistics network optimization chance constrained model to minimize the construction and operation cost, within the warehouse capacity limits under random consumer and fuzzy recycling demand environment. Then we transform the model to certainty, puts forward multi-state ideas and designs GA, eventually solving the dynamic optimization analysis of network model by an example test and verifies its validity and rationality.

Suggested Citation

  • Jing Ye & Xifu Wang & Zhaoyun Li, 2015. "Reverse Logistics Network Optimization Design under Fuzzy-stochastic Environment," Springer Books, in: Zhenji Zhang & Zuojun Max Shen & Juliang Zhang & Runtong Zhang (ed.), Liss 2014, edition 127, pages 1345-1352, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-43871-8_195
    DOI: 10.1007/978-3-662-43871-8_195
    as

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