This paper addresses a humanitarian logistics problem connected with the Syrian refugee crisis. The ongoing conflict in Syria has caused displacement of millions of people. Cash-based interventions play an important role in aiding people in the post-crisis period to enhance their well-being in the medium and longer term. The paper presents a study on how to design a network of administrative facilities to support the roll-out of cash-based interventions. The resulting multi-level network consists of a central registration facility, local temporary facilities, mobile facilities and vehicles for door-to-door visits. The goal is to reach the maximum number of eligible beneficiaries within a specified time period while minimizing logistics costs, subject to a limit on total security risk exposure. A mixed integer programming model is formulated to optimize the inter-related facility location and routing decisions under multiple objectives. The authors develop a hierarchical multi-objective metaheuristic algorithm to obtain efficient solutions. An application of the model and the solution algorithm to real data from a region in the southeast of Turkey is presented, with associated managerial insights.

本文讨论了与叙利亚难民危机相关的人道主义物流问题。叙利亚持续的冲突已导致数百万人流离失所。以现金为基础的干预措施在帮助人们在后危机时期提高中长期福祉方面发挥着重要作用。本文介绍了一项关于如何设计行政设施网络以支持实施以现金为基础的干预措施的研究。由此产生的多层次网络包括一个中央登记设施、当地临时设施、移动设施和用于上门拜访的车辆。目标是在指定的时间段内达到最大数量的合格受益人，同时最大限度地降低物流成本，但受总安全风险暴露的限制。制定了混合整数规划模型，以优化多个目标下相互关联的设施位置和路线决策。作者开发了一种分层多目标元启发式算法以获得有效的解决方案。介绍了该模型和求解算法在土耳其东南部地区的真实数据中的应用，以及相关的管理见解。