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Multi-objective models and real case study for dual-channel FAP supply chain network design with fuzzy information

Author

Listed:
  • Juan Yu

    (Southwest Jiaotong University
    Zhengzhou Chenggong University of Finance and Economics)

  • Mi Gan

    (Southwest Jiaotong University)

  • Shaoquan Ni

    (Southwest Jiaotong University)

  • Dingjun Chen

    (Southwest Jiaotong University)

Abstract

This paper studies on the dual-channel (the traditional channel and the E-commerce channel) supply chain network design (SCND) for fresh agri-product (FAP) under information uncertainty. The model is to solve the integration network design issues about production, supply, and sales of FAP, as well as to minimize the supply chain operation cost and maximizing the satisfaction degree of the logistics demand between supply chain (SC) nodes simultaneously. First, the triangular-fuzzy-number is used to depict the information uncertainty in the SCND. Then the handling cost of wasted FAP and quantitative traceability cost of FAP are considered in addition to the regular transportation cost and fixed cost for facility location, which makes it more closely and suitable for the real case when compared with the models in existing literatures. Due to there is always a lower and upper bound for delivery time of each logistics demand node in SC in real life. This problem is then formulated as an attenuation function, for depicting the satisfaction degree in each demand node. Afterwards, the multi-objective planning method is utilized to represent the mutual trade-off among supply-chain participants. The proposed models are solved with two-phase method to guarantee the optimality of the solution. Finally, the effectiveness and applicability of the proposed models and algorithm are validated with a real case. The result shows the presented SCND models can guide relevant enterprises to make optimize decisions with fuzzy information.

Suggested Citation

  • Juan Yu & Mi Gan & Shaoquan Ni & Dingjun Chen, 2018. "Multi-objective models and real case study for dual-channel FAP supply chain network design with fuzzy information," Journal of Intelligent Manufacturing, Springer, vol. 29(2), pages 389-403, February.
    • Handle: RePEc:spr:joinma:v:29:y:2018:i:2:d:10.1007_s10845-015-1115-8
    DOI: 10.1007/s10845-015-1115-8
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    References listed on IDEAS

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    5. Mingqiang Yin & Min Huang & Xiaohu Qian & Dazhi Wang & Xingwei Wang & Loo Hay Lee, 2023. "Fourth-party logistics network design with service time constraint under stochastic demand," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1203-1227, March.
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    7. Masoud Alinezhad & Iraj Mahdavi & Milad Hematian & Erfan Babaee Tirkolaee, 2022. "A fuzzy multi-objective optimization model for sustainable closed-loop supply chain network design in food industries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 8779-8806, June.

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