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A multi-objective rolling horizon personnel routing and scheduling approach for natural disasters
Transportation Research Part C: Emerging Technologies ( IF 7.6 ) Pub Date : 2023-02-28 , DOI: 10.1016/j.trc.2023.104029
İstenç Tarhan , Konstantinos G. Zografos , Juliana Sutanto , Ahmed Kheiri , Heru Suhartanto

The magnitude of the workload associated with the provision of emergency response services in the aftermath of natural disasters, coupled with limited availability of personnel for providing these services, leads to demand–supply imbalances with detrimental effects on the provision of the required services. In this context, personnel routing and scheduling decisions aim to meet the demand as fast as possible while at the same time they ensure fair provision of services among the impacted areas. Due to their excessive working hours, and their travel over unreliable transportation networks, personnel are prone to burnout effects and are exposed to risks derived from the unreliable condition of the disaster impacted transportation networks. To address these issues, we propose a novel Disaster Response Personnel Routing and Scheduling (DRPRS) model with efficiency, fairness and risk objectives, subject to working and resting related constraints. The proposed model can be applied to routing and scheduling decisions for different types of emergency response services, and takes into account the precedence relations among them. We solve the resulting multi-objective model lexicographically over a rolling horizon sequentially on a daily basis until the demand for all types of services considered is satisfied. We report results from the application of the proposed model for routing and scheduling personnel involved in the provision of evacuation and medical services in the context of 2018 Lombok Earthquake, Indonesia.



中文翻译:

一种针对自然灾害的多目标滚动水平人员路由和调度方法

自然灾害后提供应急响应服务的工作量巨大,加上提供这些服务的人员有限,导致供需失衡,对所需服务的提供产生不利影响。在这种情况下,人员路线和调度决策旨在尽快满足需求,同时确保在受影响地区公平提供服务。由于他们的工作时间过长,以及他们在不可靠的交通网络中旅行,人员容易产生倦怠效应,并面临因受灾交通网络的不可靠状况而产生的风险。为了解决这些问题,我们提出了一种具有效率、公平和风险目标的新型灾难响应人员路由和调度 (DRPRS) 模型,受工作和休息相关约束的约束。所提出的模型可应用于不同类型应急响应服务的路由和调度决策,并考虑了它们之间的优先关系。我们每天按顺序在滚动范围内按字典顺序求解生成的多目标模型,直到满足对所考虑的所有类型服务的需求。我们报告了在 2018 年印度尼西亚龙目岛地震的背景下,对参与提供疏散和医疗服务的人员进行路由和调度的拟议模型的应用结果。所提出的模型可应用于不同类型应急响应服务的路由和调度决策,并考虑了它们之间的优先关系。我们每天按顺序在滚动范围内按字典顺序求解生成的多目标模型,直到满足对所考虑的所有类型服务的需求。我们报告了在 2018 年印度尼西亚龙目岛地震的背景下,对参与提供疏散和医疗服务的人员进行路由和调度的拟议模型的应用结果。所提出的模型可应用于不同类型应急响应服务的路由和调度决策,并考虑了它们之间的优先关系。我们每天按顺序在滚动范围内按字典顺序求解生成的多目标模型,直到满足对所考虑的所有类型服务的需求。我们报告了在 2018 年印度尼西亚龙目岛地震的背景下,对参与提供疏散和医疗服务的人员进行路由和调度的拟议模型的应用结果。我们每天按顺序在滚动范围内按字典顺序求解生成的多目标模型,直到满足对所考虑的所有类型服务的需求。我们报告了在 2018 年印度尼西亚龙目岛地震的背景下,对参与提供疏散和医疗服务的人员进行路由和调度的拟议模型的应用结果。我们每天按顺序在滚动范围内按字典顺序求解生成的多目标模型,直到满足对所考虑的所有类型服务的需求。我们报告了在 2018 年印度尼西亚龙目岛地震的背景下,对参与提供疏散和医疗服务的人员进行路由和调度的拟议模型的应用结果。

更新日期:2023-03-02
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