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首页> 外文期刊>International journal of production economics >A fuzzy bi-level optimization model for multi-period post-disaster relief distribution in sustainable humanitarian supply chains
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A fuzzy bi-level optimization model for multi-period post-disaster relief distribution in sustainable humanitarian supply chains

机译：可持续人道主义供应链中多时期灾后救济分布的模糊双级优化模型

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摘要

In the aftermath of large-scale natural disasters, supply shortage and inequitable distribution cause various losses, hindering humanitarian supply chains? performance. The optimal decisions are difficult due to the complexity arising from the multi-period post-disaster consideration, uncertainty of supplies, hierarchal decision levels and conflicting objectives in sustainable humanitarian supply chains (SHSCs). This paper formulates the problem as a fuzzy tri-objective bi-level integer programming model to minimize the unmet demand rate, potential environmental risks, emergency costs on the upper level of decision hierarchy and maximize survivors? perceived satisfaction on the lower level of decision hierarchy. A hybrid global criterion method is devised to incorporate a primal-dual algorithm, expected value and branch-and-bound approach in solving the model. A case study using data from the Wenchuan earthquake is presented to evaluate the proposed model. Study results indicate that the hybrid global criterion method guides an optimal strategy for such a complex problem within a reasonable computational time. More attention should be attached to the environmental and economic sustainability aspects in SHSCs after golden rescue stage. The proposed bi-level optimization model has the advantages of reducing the total unmet demand rate, total potential environmental risks and total emergency costs. If the decision-agents with higher authorities act as the leaders with dominant power in SHSCs, the optimal decisions, respectively taking hierarchical and horizontal relationships into account would result in equal performance.
机译：在大规模的自然灾害的后果中，供应短缺和不公平的分布会导致各种损失，妨碍人道主义供应链？表现。由于多期灾后审议，供应的不确定性，可持续人道主义供应链（SHSC）中的不同灾区，供应，阶级决策水平和冲突目标的复杂性，最佳决策很困难。本文将问题交流为模糊的三目标双级整数编程模型，以最大限度地减少未满足的需求率，潜在的环境风险，紧急成本，在决策层次的上层，最大化幸存者？对较低决策层次结构的感知满意度。设计了一种混合全局标准方法，用于解决求解模型的基因双算法，预期值和分支和束缚方法。提出了使用来自汶川地震数据的案例研究来评估所提出的模型。研究结果表明，混合动力全局标准方法在合理的计算时间内引导在这种复杂问题的最佳策略。在黄金救援阶段后，应更多地关注SHSCS中的环境和经济可持续性方面。所提出的双级优化模型具有降低总未满足需求，总潜在环境风险和全面紧急费用的优势。如果具有高等当局的决策代理人作为SHSC的主导权力的领导者，则分别考虑分层和水平关系的最佳决策将导致平等的性能。

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