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首页> 外文期刊>Journal of Intelligent Manufacturing >Multi-objective models and real case study for dual-channel FAP supply chain network design with fuzzy information
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Multi-objective models and real case study for dual-channel FAP supply chain network design with fuzzy information

机译：双通道FAP供应链网络设计的多目标模型与实际研究，模糊信息

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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.
机译：本文根据信息不确定性，对新渠道（传统频道和电子商务信道）供应链网络设计（SCND）的研究。该模型是解决FAP生产，供应和销售的集成网络设计问题，以及最大限度地减少供应链运行成本并同时最大化供应链（SC）节点之间的物流需求的满意度。首先，三角形模糊数用于描述SCND中的信息不确定性。然后，除了规则的运输成本和设施位置的固定成本之外，还考虑了浪费FAP的处理成本和FAP的定量可追溯性成本，这使得与现有文献中的模型相比，这使得它更加紧密，适用于实际情况。由于现实生活中SC中的每个物流需求节点的交货时间总是存在下限和上限。然后将该问题配制为衰减函数，用于描绘每个需求节点中的满意度。之后，利用多目标规划方法来表示供应链参与者之间的相互权衡。所提出的模型以两相方法求解，以保证解决方案的最优性。最后，提出模型和算法的有效性和适用性被真正的情况验证。结果表明，所呈现的SCND模型可以指导相关企业以优化模糊信息的决策。

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