Browsing by Subject "Humanitarian Logistics"
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Item Open Access Covering vehicle routing problem: applications for refugee related services(Bilkent University, 2018-07) Buluç, Elfe NazThe world is facing a refugee crisis because of the ongoing war in Syria, and it is important to develop refugees' life conditions and increase their integration to the host communities. There are several services given to refugees to improve humanitarian development. The distribution of cash and e-vouchers to refugees and the routing of trucks which provide Child Friendly Spaces to vulnerable refugee children are addressed in this study. Both problems have similar characteristics as they provide services using mobile vehicles. The distribution of e-vouchers problem is applied for two scenarios, where local distribution centers are opened to cover an area, and a combination of local distribution centers and hand-tohand delivery is conducted to increase the accessibility. The given problems are categorized as Covering Vehicle Routing Problem and Covering Vehicle Routing Problem with Integrated Tours which are introduced to the literature. The performance of the proposed models is tested and a sensitivity analysis on the problem parameters is given. Three optimization based heuristics are proposed to improve solving times. The proposed solutions are applied to a real life case of city Kilis. In order to apply the models to the routing of Mobile Child Friendly Spaces problem, a bi-objective version of the proposed models is given where the aim is to minimize the unsatis ed demand while minimizing travelled distance. -constraint method is applied to solve the bi-objective application and all Pareto Optimal solutions are obtained.Item Open Access Post-disaster assessment routing problem(Bilkent University, 2018-06) Oruç Ağlar, Buse EylülPost-disaster assessment operations constitute the basis for the operations conducted in the response phase of the disaster management. Through the assessment of the road segments, the extent of damage and the amount of debris will be determined, and debris removal operations will benefit from this assessment. Via assessing the damage at the population centers, the needs of the affected area will be determined and the distribution of relief supplies will be made accordingly. Hence, the damage assessment allows disaster management operation coordinators to determine immediate actions necessary to respond to the effects of the disaster with the effective use of resources for alleviating human suffering. In this study, we propose a post-disaster assessment strategy as part of response operations in which effective and fast relief routing are of utmost importance. In particular, the road segments and the population points to perform assessment activities on are selected based on the value they add to the consecutive response operations. To this end, we develop a bi-objective mathematical model that utilizes a heterogeneous vehicle set. The proposed model for disaster assessment considers motorcycles, which can be utilized under off-road conditions, and/or unmanned-aerial-vehicles, drones. The first objective aims to maximize the total value added by the assessment of the road segments (arcs) whereas the second maximizes the total profit generated by assessing points of interests (nodes). Bi-objectivity of the problem is studied with the -constraint method. Since obtaining solutions as fast as possible is crucial in the post-disaster condition, heuristic methods are also proposed. To test the mathematical model and the heuristic methods, a data set belonging to Kartal district of Istanbul is used