An edge-based stochastic facility location problem in UAV-supported humanitarian relief logistics: a case study of Tehran earthquake

Golabi, Mahmoud; Shavarani, Seyed Mahdi; İzbirak, Gökhan

doi:10.1007/s11069-017-2832-4

Cited by 80 publications

(46 citation statements)

References 35 publications

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“…The existing articles mostly examine the placement of distribution and transfer centers in disaster regions to supply emergency commodities via drones . For example, Golabi et al study the location of emergency supply facilities given budget limitations and a set of possible disaster scenarios and their probabilities. The scenarios specify possible damage to infrastructure after some disaster, such as an earthquake.…”

Section: Strategic Tactical and Operational Issues Linked To Dronementioning

confidence: 99%

“…Most articles aim at minimizing total cost , taking both the fixed cost of opening an additional facility and inventory holding cost into account. In disaster applications, urgency‐related objectives, such as average lead time for deliveries and total travel time for people and vehicles , gain importance.…”

Section: Strategic Tactical and Operational Issues Linked To Dronementioning

confidence: 99%

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Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

et al. 2018

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Unmanned aerial vehicles (UAVs), or aerial drones, are an emerging technology with significant market potential. UAVs may lead to substantial cost savings in, for instance, monitoring of difficult‐to‐access infrastructure, spraying fields and performing surveillance in precision agriculture, as well as in deliveries of packages. In some applications, like disaster management, transport of medical supplies, or environmental monitoring, aerial drones may even help save lives. In this article, we provide a literature survey on optimization approaches to civil applications of UAVs. Our goal is to provide a fast point of entry into the topic for interested researchers and operations planning specialists. We describe the most promising aerial drone applications and outline characteristics of aerial drones relevant to operations planning. In this review of more than 200 articles, we provide insights into widespread and emerging modeling approaches. We conclude by suggesting promising directions for future research.

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Section: Strategic Tactical and Operational Issues Linked To Dronementioning

confidence: 99%

Section: Strategic Tactical and Operational Issues Linked To Dronementioning

confidence: 99%

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

et al. 2018

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“…As studied by JICA and CEST (2000), the detriment rate caused by the Mosha, North Tehran, and Ray faults is estimated to be 13%, 36%, and 55%, respectively. The catastrophic consequences of a probable earthquake in Tehran and the measures required to confront it have been widely studied [13], [69], [70].…”

Section: Case Study: Tehranmentioning

confidence: 99%

“…In (17), is the earthquake magnitude and is the distance between the center of region and the hypocenter of the earthquake in kilometers. Parameter , used to determine the range of survival probabilities, is considered equal to 2 [69]. Equations (16) and (17) are calculated considering the worst-case scenario, which is the activation of the Ray fault model with magnitude 7.5.…”

Section: Case Study: Tehranmentioning

confidence: 99%

Assignment of Medical Staff to Operating Rooms in Disaster Preparedness: A Novel Stochastic Approach

Shavarani

Golabi

Vízvári

2020

IEEE Trans. Eng. Manage.

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Following a large-scale disaster in a highly populated city, one can expect a large number of injured people to need urgent operation. If it can be assumed that the city in question is likely to experience a disaster (although the time of its occurrence is unknown), pre-disaster measures should be taken to mitigate the consequences of the disaster. This study aims to minimize the fatality rate through the proper assignment of operating room personnel to hospitals, such that both the expected value of the functioning operating rooms and the expected value of the service level are maximized. Service level is defined as a variable that has a negative relationship to the distance a patient is expected to travel in order to receive the required medical services. The probability of survival, for both personnel and operating rooms, depends on several stochastic factors. A bi-objective mixed integer nonlinear model is proposed for the problem. A simulated annealing algorithm, particle swarm and a genetic algorithm are developed to solve the model using a weighted metric method. The model is applied to a possible worst-case earthquake scenario in Tehran. The results show that the proposed approach significantly improves the performance of post-disaster emergency relief.

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“…In contemporary manufacturing and logistics, both AGVs and unmanned aerial vehicles (UAVs) play increasingly important roles (Lee et al, 2015). More broadly, there are a number of related applications of UAVs (Khosiawan, Khalfay, & Nielsen, 2018;Khosiawan, Park, Moon, Nilakantan, & Nielsen, 2018) that are relevant also for this study, including relay networks (De Freitas et al, 2010), navigation by evolutionary algorithms (Nikolos, Valavanis, Tsourveloudis, & Kostaras, 2003), emergency refuelling (Kladis, Economou, Tsourdos, White, & Knowles, 2008), motion planning and guidance (Goerzen, Kong, & Mettler, 2010;Golabi, Shavarani, & Izbirak, 2017), as well as routing with stochastic targets (Enright, Frazzoli, Savla, & Bullo, 2005). While a number of recent studies have been focused on UAVs, a number of these concepts are also relevant and partially transferrable and adaptable to the domain of AGVs.…”

Section: Introductionmentioning

confidence: 99%

Two strategies of two-level facility network design for autonomous ground vehicle operations

Chalupa

Nielsen

2018

Production & Manufacturing Research

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We compare two models of two-level facility location problems for network design in autonomous ground vehicle (AGV) operations. The two-level model consists of locations for charging stations (main facilities), as well as for storage locations (substations). Demand points will represent processing locations. In both formulations, demands are assigned to substations and substations are assigned to main facilities. The formulations differ in whether each connection between a facility and a substation is counted once in absolute terms, or once per demand. These represent two different views, in which transfer between a main facility and substation is carried out either in bulk, e.g. using a shuttle, or by each AGV independently. Selected experimental results are presented for geometric networks and networks consisting of uniformly distributed points on a regular mesh. These results indicate that the two formulations lead to vastly different network designs in terms of the number of facilities and connectivity.

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An edge-based stochastic facility location problem in UAV-supported humanitarian relief logistics: a case study of Tehran earthquake

Cited by 80 publications

References 35 publications

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey

Assignment of Medical Staff to Operating Rooms in Disaster Preparedness: A Novel Stochastic Approach

Two strategies of two-level facility network design for autonomous ground vehicle operations

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