Reliable design of humanitarian supply chain under correlated disruptions: a two-stage distributionally robust approach
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shanghai
Fundamental Research Funds for the Central Universities
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10479-024-05916-7.pdf
Reference103 articles.
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2. Agrawal, S., Ding, Y., Saberi, A., & Ye, Y. (2012). Price of correlations in stochastic optimization. Operations Research, 60(1), 150–162. https://doi.org/10.1287/opre.1110.1011
3. Aldrighetti, R., Battini, D., Ivanov, D., & Zennaro, I. (2021). Costs of resilience and disruptions in supply chain network design models: A review and future research directions. International Journal of Production Economics, 235(3), 108103. https://doi.org/10.1016/j.ijpe.2021.108103
4. An, S., Cui, N., Bai, Y., et al. (2015). Reliable emergency service facility location under facility disruption, en-route congestion and in-facility queuing. Transportation Research, Part E. Logistics and Transportation Review, 82, 199–216. https://doi.org/10.1016/j.tre.2015.07.006
5. An, Y., Zeng, B., Zhang, Y., & Zhao, L. (2014). Reliable p-median facility location problem: Two-stage robust models and algorithms. Transportation Research Part B: Methodological, 64, 54–72. https://doi.org/10.1016/j.trb.2014.02.005
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