Design of a reliable hierarchical location-allocation model under disruptions for health service networks: A two-stage robust approach
Design of a reliable hierarchical location-allocation model under disruptions for health service networks: A two-stage robust approach
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DOI：
10.1016/j.cie.2017.04.036
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发表时间：
2017-07
期刊：
影响因子：
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通讯作者：
N. Zarrinpoor;M. Fallahnezhad;M. Pishvaee
中科院分区：
文献类型：
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作者：
N. Zarrinpoor;M. Fallahnezhad;M. Pishvaee
本研究提出了一种新的可靠的分级位置分配模型，用于设施容易受到中断风险影响的卫生服务网络设计。为了刻画相关卫生网络各级之间的关系，考虑了带有服务转介的两级多流嵌套层次结构。模型中考虑了排队系统，该模型处理与需求和服务相关的不确定性。为了保证服务质量，定义了一个反映病人等待时间概率的最小限度。所提出的模型基于两阶段稳健优化方法，其中决策被定义为两个阶段，使得第一阶段的解对于只能在第二阶段揭示的干扰的可能实现具有健壮性。实现了基于Bders分解型算法的求解过程。为了说明该模型的适用性，给出了一个实际的案例研究。结果表明，该模型可以作为一种灵活的决策支持工具，供决策者在设计可靠、健壮的卫生服务网络时采取适当的策略和策略。
This study proposes a novel reliable hierarchical location-allocation model for health service network designs where facilities are subject to the risk of disruptions. To characterize the relationship between various levels of the concerned health network, a two-level multi-flow nested hierarchy with service referral is taken into account. The queuing system is considered in the model which handles uncertainty associated with demand as well as service. To ensure the service quality, a minimum limit reflected in the probability of patients’ waiting time is defined. The proposed model is formulated based on a two-stage robust optimization approach in which decisions are defined in two stages such that a first-stage solution should be robust against the possible realizations of the disruption that can only be revealed in a second stage. A solution procedure based on Benders decomposition type algorithm is implemented to solve the model. To illustrate the applicability of the proposed model, a practical case study is presented. The results show that the proposed model can be applied as a flexible decision support tool for decision makers to adopt appropriate strategies and policies in designing a reliable and robust health service network.