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在第四方物流的服务模式下,为了使产品的配送与回收能够在动态环境下安全、有效的运作,研究多周期的第四方物流弹复性正逆向集成网络设计问题.构建了在满足弹复性约束条件下,使总成本最小化的网络设计优化模型,在考虑多个运营周期条件下同时优化正向和逆向网络.鉴于该问题的NP-hard特性,设计了一种改进的蚁群算法.最后,通过数据随机产生的算例来测试模型的合理性以及算法的有效性,并且改进的蚁群算法的性能优于标准的蚁群算法.
Under the service mode of the fourth party logistics, in order to ensure the safe and efficient operation of product distribution and recycling in the dynamic environment, this paper studies the design problem of the flexible and forward-reverse integrated network for the fourth cycle of the fourth party logistics, In the case of elastic constraints, the network design optimization model that minimizes the total cost optimizes both forward and reverse networks while considering multiple operating cycles. In view of the NP-hard nature of the problem, an improved ant In the end, the rationality of the model and the effectiveness of the algorithm are tested by the examples generated randomly. The performance of the improved ant colony algorithm is better than the standard ant colony algorithm.