当前位置: X-MOL 学术Int. J. Prod. Econ. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A fuzzy bi-level optimization model for multi-period post-disaster relief distribution in sustainable humanitarian supply chains
International Journal of Production Economics ( IF 12.0 ) Pub Date : 2021-03-10 , DOI: 10.1016/j.ijpe.2021.108081
Cejun Cao , Yang Liu , Ou Tang , Xuehong Gao

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.



中文翻译:

可持续人道主义供应链中多期灾后救灾分配的模糊双层优化模型

在大规模自然灾害之后,供应短缺和分配不均造成各种损失,从而阻碍了人道主义供应链的绩效。由于多时期的灾后考虑,供应的不确定性,分级决策水平以及可持续人道主义供应链(SHSC)中的目标相互矛盾,导致最佳决策很困难。本文将该问题表述为模糊三目标双层整数规划模型,以最大程度地降低决策层次上层的未满足需求率,潜在环境风险,紧急情况费用,并在决策层次下层上最大化幸存者的感知满意度。设计了一种混合全局准则方法,以结合原始对偶算法,期望值和求解模型的分支定界方法。提出了一个使用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,混合全局准则方法可在合理的计算时间内为此类复杂问题提供最佳策略。黄金救助阶段结束后,应该更加关注SHSC的环境和经济可持续性方面。所提出的双层优化模型具有降低总的未满足需求率,总的潜在环境风险和总的紧急成本的优点。如果具有较高权限的决策代理充当SHSC中具有主导权的领导者,则分别考虑等级和水平关系的最优决策将导致均等的绩效。提出了一个使用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,混合全局准则方法可在合理的计算时间内为此类复杂问题提供最佳策略。黄金救助阶段结束后,应该更加关注SHSC的环境和经济可持续性方面。所提出的双层优化模型具有降低总的未满足需求率,总的潜在环境风险和总的紧急成本的优点。如果具有较高权限的决策代理充当SHSC中具有主导权的领导者,则分别考虑等级和水平关系的最优决策将导致均等的绩效。提出了一个使用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,混合全局准则方法可在合理的计算时间内为此类复杂问题提供最佳策略。黄金救助阶段结束后,应该更加关注SHSC的环境和经济可持续性方面。所提出的双层优化模型具有降低总的未满足需求率,总的潜在环境风险和总的紧急成本的优点。如果具有较高权限的决策代理充当SHSC中具有主导权的领导者,则分别考虑等级和水平关系的最优决策将导致均等的绩效。

更新日期:2021-03-19
down
wechat
bug