To promote the green and high-quality development of rural e-commerce logistics, we propose the Two-Echelon Location-Routing Problem with Fuzzy Demand (2E-LRP-FD) of the rural e-commerce logistics network. Considering fuzzy demand, government subsidies and simultaneous delivery, the objective function aims to maximise the profit of enterprises considering government subsidies. The fuzzy chance-constrained programming method is used to deal with the triangular fuzzy variables of pickup demands. Additionally, we present a two-stage Improved Non-Dominated Sorting Genetic Algorithm II (INSGA-II) that integrates stochastic simulation and a K-means clustering algorithm to effectively solve the problem. In the end, the numerical experiments of algorithm and model design are verified. The experimental results demonstrate that the proposed INSGA-II is significantly efficient and effective. Furthermore, we discuss the relationship between subsidy strategies and logistics enterprise profits. This research contributes valuable insights for the establishment of rural e-commerce logistics systems.


    Access

    Download


    Export, share and cite



    Title :

    Two-Echelon Location-Routing Problem with Fuzzy Demand of Rural E-Commerce Logistics


    Contributors:
    Xiaojuan LU (author) / Jianjun WANG (author) / Shuai WU (author) / Shiyu ZHENG (author) / Qian LIU (author)


    Publication date :

    2025




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Routing Optimization of Two-Echelon Two-Way Logistics in Rural Areas Based on E-Commerce Environment

    Hong, Wei / Du, Chen / Xu, Shuling et al. | Transportation Research Record | 2024




    Enabling Urban Logistics Services at La Poste through Multi-Echelon Location-Routing

    Winkenbach, Matthias / Kleindorfer, Paul R. / Spinler, Stefan | British Library Online Contents | 2016


    Open-Close Mixed Two-Echelon Vehicle Routing Problem in City Logistics

    Zeng, Zhengyang / Xu, Weisheng / Xu, Zhiyu et al. | British Library Online Contents | 2014