In disaster relief, one major concern is to have an efficient network to supply and distribute critical items such as blood to the affected areas. Based on a real case study, a tailored disaster relief blood supply chain problem is carried out for the responsive and reliable supply of blood. The case study necessitates incorporating three criteria, (1) urgency (U) of the injured and their priority-based demand, (2) the fairness (F) of blood distribution among the demand points, and (3) the risk (R) factor arising from uncertain nature of the network parameters and potential threat of disruptions (thereafter called U.F.R). Arisen from disaster condition, two major risk factors have been tracked by a robust optimization framework to cope with the operational risk (input uncertainty) as well as the disruption risk. Also, since the disaster may interrupt the SC activities such as blood collection processes, the SC facilities must be located on the most ideal place where is practically decided based on a number of criteria. Thus, the case calls for a group multi-criteria decision making method developed for the problem. To accommodate the requirements of the case study, a mixed integer robust equity-based bi-objective formulation (REBF) is proposed. Computational experiments of our case study reveal that the REBF can make a trade-off between costs and fairness in the quantity of deliveries and achieve a reliable solution in the disaster emergency case.

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响应迅速且可靠的以伤员为导向的救灾血液供应链：一个真实的案例研究

在救灾中，一个主要问题是拥有一个有效的网络来向受灾地区供应和分发血液等关键物品。基于真实案例研究，针对响应性和可靠的血液供应，进行了量身定制的救灾血液供应链问题。案例研究需要结合三个标准，(1) 受伤者的紧急程度 (U) 及其优先需求，(2) 需求点之间血液分配的公平性 (F)，以及 (3) 风险 (R)由网络参数的不确定性和潜在中断威胁（以下称为 UFR）引起的因素。由于灾害状况，两个主要风险因素已被稳健的优化框架跟踪，以应对运营风险（输入不确定性）以及中断风险。还，由于灾难可能会中断血液采集过程等 SC 活动，因此 SC 设施必须位于最理想的地方，并根据多项标准实际决定。因此，该案例需要针对该问题开发的群体多标准决策方法。为了适应案例研究的要求，提出了一种混合整数稳健的基于公平的双目标公式（REBF）。我们案例研究的计算实验表明，REBF 可以在交付数量的成本和公平性之间进行权衡，并在灾难紧急情况下实现可靠​​的解决方案。该案例要求为该问题开发一种群体多标准决策方法。为了适应案例研究的要求，提出了一种混合整数稳健的基于公平的双目标公式（REBF）。我们案例研究的计算实验表明，REBF 可以在交付数量的成本和公平性之间进行权衡，并在灾难紧急情况下实现可靠​​的解决方案。该案例要求为该问题开发一种群体多标准决策方法。为了适应案例研究的要求，提出了一种混合整数稳健的基于公平的双目标公式（REBF）。我们案例研究的计算实验表明，REBF 可以在交付数量的成本和公平性之间进行权衡，并在灾难紧急情况下实现可靠​​的解决方案。