目的/意义集成优化生鲜运输路径、自提点选择及末端客户分配等多个决策的生鲜物流网络，可提高物流系统综合效益。设计/方法针对设施繁忙率影响自提效率，构建设施繁忙率测度函数；针对客户对高服务水平的要求，构建自提点服务水平函数；进而建立寻求总成本最小、自提效率最大和服务水平最高的生鲜自提点选址及路径优化模型，并设计了基于“一阶段编码”方案和新的客户分配策略的多目标禁忌搜索算法对模型进行求解，最后通过算例验证模型和算法的有效性。结论/发现考虑自提点服务水平和设施繁忙率，能够在满足末端客户多种需求的同时，提高自提点设施效率；总成本、设施繁忙率和自提点服务水平之间相互影响，决策者应根据企业实际运营情况进行合理决策。

[Purpose/Significance] The logistics network for fresh products integrating the optimization of transportation routes, self-collection selection and allocation of customers can improve the comprehensive benefits of logistics system. [Design/Methodology] The busy facilities measure function is set up to improve the self-collection efficiency. Then the location and routing optimization model of pick-up points is constructed to minimize costs and maximize the efficiency of pick-up points and service level. The self-collection service level function is established to meet customer requirements on high service level. In addition, this paper explores the self-collection location of fresh products and routing optimization model that have the minimum total cost, maximum self-collection efficiency and highest service level. The multi-objective tabu search algorithm based on the “one-stage coding” scheme and novel customer allocation strategy is designed and the feasibility and effectiveness of the model and algorithm are verified by calculation examples. [Findings/Conclusions] The results show that given the service level and busy facilities of self-collection, the efficiency of self-collection facilities can be improved while satisfying diverse customer requirements. As the total cost, busy facilities and self-collection service level affect each other, deciders should make reasonable decisions based on the actual business operations.