跨境供应链网络海外仓的鲁棒性选址模型及算法

新经济形态下，全球政治、经济形势瞬息万变，多种人为和自然因素导致商业供应链的生存环境日益严峻. 跨境供应链网络作为典型的时效性和运营环境等都具有极大不确定性的复杂网络，研究其鲁棒性问题具有一定的理论意义和实际应用场景. 首先阐明了跨境供应链网络的内涵，认为海外仓的选址优化是控制网络鲁棒性的重要手段；随后基于最小最大后悔值构建了海外仓的鲁棒性选址模型，利用情景松弛算法对模型进行求解. 算例分析结果证明，所构建的海外仓鲁棒性选址模型及算法适用于跨境供应链网络情景.

Robust Location Model and Algorithms for Over-seas Warehouse in Cross-border Supply Chain Network

Under the new economic form, the global political and economic situation is changing rapidly, and a variety of human and natural factors lead to the increasingly severe living environment faced by the commercial supply chain. As a typical complex network with great uncertainties in timeliness and operating environment, the research of cross-border supply chain network robustness has certain theoretical significance and practical application scenarios. Firstly, this paper clarifies the connotation of supply chain robustness and cross- border supply chain network, analyses the robustness of cross-border supply chain networks. Secondly, based on the idea of minimum and maximum regret value, this paper constructs a robust location model for overseas warehouses, and solves the model by using scenario relaxation algorithm. The results show that the constructed model and algorithm are suitable for cross-border supply chain network scenarios.