This paper proposes a multi-objective mixed-integer linear programming to model a cold chain with complementary operations on a hierarchical hub network. Central hubs are linked to each other in the first level of the network and to the star network of the lower-level hubs. As for a case study, different hub levels provide various refreshing or freezing operations to keep the perishable goods fresh along the network. Disruption is formulated by the consideration of stochastic demand and multi-level freshness time windows. Regarding the solution, a genetic algorithm is also developed and compared for competing the large-sized networks.

中文翻译：

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分层运营中心网络中的冷链管理

本文提出了一种多目标混合整数线性规划方法，以对具有分层集线器网络上的互补操作的冷链进行建模。中心集线器在网络的第一层中相互链接，并在较低级别的集线器中与星型网络链接。对于案例研究，不同的枢纽级别提供了各种刷新或冻结操作，以使易腐货物沿网络保持新鲜。干扰是通过考虑随机需求和多级新鲜时间窗口来制定的。关于解决方案，还开发了一种遗传算法，并将其与大型网络竞争。