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Distributionally robust multi-period location-allocation with multiple resources and capacity levels in humanitarian logistics

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Benders decomposition for the distributionally robust optimization of pricing and reverse logistics network design in remanufacturing systems

Gong, Hailei; Zhang, Zhi-Hai - In: European journal of operational research : EJOR 297 (2022) 2, pp. 496-510

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Robust emergency relief supply planning for foreseen disasters under evacuation-side uncertainty

Dalal, Jyotirmoy; Üster, Halit - In: Transportation science : a journal of the Institute for … 55 (2021) 3, pp. 791-813

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Benders decomposition for robust distribution network design and operations in online retailing

Song, Jiuyan; Wang, Dan; Ma, Zujun - In: European journal of operational research : EJOR 315 (2024) 3, pp. 1069-1082

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Distributional robustness based on Wasserstein-metric approach for humanitarian logistics problem under road disruptions

Gao, Yingying; Ding, Xianghai; Yu, Wuyang - In: Operations research perspectives 13 (2024), pp. 1-15

Humanitarian logistics plays a vital role in disaster management. However, it often faces the challenge of … examines the location-allocation problem in humanitarian logistics for disaster relief supplies. The research focuses on … optimization methodology in humanitarian logistics. …

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An almost robust model for minimizing disruption exposures in supply systems

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Robust sustainable bi-directional logistics network design under uncertainty

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Solving mixed-integer robust optimization problems with interval uncertainty using Benders decomposition

Siddiqui, Sauleh; Gabriel, Steven A.; Azarm, Shapour - In: Journal of the Operational Research Society : OR 66 (2015) 4, pp. 664-673

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Closed-loop supply chain network design with price-greenness-sensitive demand : a distributionally robust chance-constrained optimization approach

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Hybrid robust and stochastic optimization for closed-loop supply chain network design using accelerated Benders decomposition

Keyvanshokooh, Esmaeil; Ryan, Sarah M.; Kabir, Elnaz - In: European journal of operational research : EJOR 249 (2016) 1, pp. 76-92

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