越库中心选址模型与启发式算法

越库配送网络具有高运作效率、低库存等特性，同时对时间要求较高，故研究带时间窗口约束的越库选址路径问题。采用时间窗模糊化处理方法定义客户满意度函数，在能力和载重等约束下，建立越库选址路径问题（CDLRP）的多目标规划模型，通过合理选择越库中心并安排配送路径从而达到降低成本、提高客户满意度和提高配送效率三个目标。针对此多目标问题，设计了嵌套灰关联分析的多目标禁忌搜索算法寻求较好的Pareto最优前沿，最后通过算例仿真验证了优化模型和求解算法的可行和有效性。

Cross-docking: state of the art

With the characteristics of high operational efficiency and low inventory level, cross-docking distribution network has higher demand for time. This paper studied the location-routing problem with time window constraints, and the fuzzy processing method was used to define the customer satisfaction function. Under the constraints of capacity and load, a multi-objective integration model was proposed for the location-routing problem. The model aimed to reduce costs, improve customer satisfaction and improve efficiency by selecting the cross-docking centers and arranging the routes reasonably. A multi-objective tabu search algorithm embedded grey relational analysis is designed to find a better Pareto frontier. Finally, the feasibility and effectiveness of the optimization model and the algorithm are verified by simulation.