Humanitarian Supply Chain Management: Extended Literature Review

Daşcıoğlu, Büşra Gülnihan; Vayvay, Özalp; Kalender, Zeynep Tuğçe

doi:10.1007/978-3-030-03317-0_36

Cited by 2 publications

(1 citation statement)

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“…Existing work covers a broad set of optimization problems for pre-disaster and post-disaster stages. Anaya-Arenas et al (2014), Leiras et al (2014), Dascioglu et al (2019) and Macrina et al (2020) present comprehensive surveys about humanitarian logistics management. These works provide an overview of qualitative and quantitative models for disaster management related to accessibility, distribution and facility location problems.…”

Section: Literature Reviewmentioning

confidence: 99%

Exploration of a disrupted road network after a disaster with an online routing algorithm

et al. 2020

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This paper considers the problem of supporting immediate response operations after a disaster with information about the available road network to reach certain locations. We propose an online algorithm that aims to minimize the route length required by an unmanned aerial vehicle (UAV) to explore the road accessibility of potential victim locations. It is assumed that no information about disruptions in the road network is available at the start of the exploration. The online algorithm applies two movement and three orientation strategies. Additionally, a cutting strategy is used to restrict the search space after new information about the state of single roads is obtained. We consider a road and an aerial network for the movements of the UAV, since it is not necessary to follow the route of a road any longer, if it can be marked as disrupted. In extensive numerical studies with artificial and real-world test instances, it is evaluated for different disruption levels, which combinations of movement and orientation strategies perform best. Additionally, we propose different refuelling strategies for the UAV and present how they differ in the number of refuelling operations and the required additional route length. The results show that an efficient online algorithm can save valuable exploration time.

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