A probabilistic fuzzy goal programming model for managing the supply of emergency relief materials

Jana, Rabin K.; Sharma, Dinesh K.; Mehta, Peeyush

doi:10.1007/s10479-021-04267-x

Cited by 14 publications

(2 citation statements)

References 55 publications

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“…In addition to natural disasters, accidents and public health events also have a huge impact on life safety and economic development. In the face of these disaster events, the rapid response of emergency rescue work is essential to ensure public safety and social order and reduce losses [1,2,3]. In light of this, emergency managers have been looking for last-mile distribution with faster emergency response times.…”

Section: Introductionmentioning

confidence: 99%

Multi-depot vehicle routing problem with drones in emergency logistics

Weng,

She,

Fan

et al. 2024

Preprint

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In order to expand the application of truck-drone cooperative delivery in emergency logistics, this paper investigates the multi-depot vehicle routing problem with drones for emergency logistics scheduling. A mixed-integer programming model with the objective of minimizing the maximum expected rescue time from urban distribution centres to temporary distribution stations is proposed. To address this problem, a new two-stage hybrid heuristic algorithm is proposed. In the first stage, we employ an improved K-means clustering to cluster the temporary distribution stations. In the second stage, a combination of Tabu search (TS), enhanced genetic algorithm (GA), and simulated annealing (SA) is applied to optimize the routes of both trucks and drones. The numerical study involves the validation of the model using real-world cases. Through comparison experiments with the Gurobi solver, we demonstrate the significant advantages of the proposed heuristic algorithm in terms of solution quality and efficiency.

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Section: Introductionmentioning

confidence: 99%

Multi-depot vehicle routing problem with drones in emergency logistics

Weng,

She,

Fan

et al. 2024

Preprint

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“…introduced seismic resilience to judge the seismic capacity of disaster-affected areas and further determined their locations and scales. Many researchers have simulated the design of several earthquake-affected areas, and taken actual earthquakes as site selection models to validate the case studies (Geng et al, 2021;Guan et al, 2020;Jana et al, 2021).…”

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confidence: 99%

Method for site selection of relief supply warehouses in earthquakes with Ms ≥ 7—a case study of western Yunnan, China

Xing

Fan

et al. 2023

Nat Hazards

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Relief supply warehouses provide necessities of life for victims in disaster relief. The science behind site selection for large relief supply warehouses determines whether victims in earthquakes with Ms ≥ 7 can receive timely and effective relief. This study proposed a method of site selection for relief supply warehouses based on the prediction of earthquake disasters and the quanti cation of site selection criteria. This method considered four factors, i.e., the prediction of earthquake-prone areas, the identi cation of building distribution, the mode of post-earthquake transport of relief supplies, and the construction standards of relief supply warehouses. Taking western Yunnan Province for a case study, this study rst identi ed seven disaster-affected areas, then determined the helicopter's most extensive safe ight range in post-earthquake transport of relief supplies. Next, it quanti ed and classi ed the site selection criteria of relief supply warehouses in China and selected the top ten candidate sites meeting the necessary conditions. Finally, it obtained the ideal site using reference conditions. IntroductionWhen earthquakes with Ms ≥ 7 occur in anthropic zones, they damage infrastructure (such as buildings, structures, equipment, facilities, and transport) to varying degrees, signi cantly impacting normal production and life. In the face of an earthquake with Ms ≥ 7 and the secondary disasters induced by it, e cient and rapid emergency rescue can effectively reduce casualties and losses (Baghaian et al., 2022). An adequate reserve of necessities of life constitutes an essential material basis for emergency rescue and a necessary condition of earthquake emergency relief. The reasonableness of reserve siting and capacity directly determine the effect of earthquake emergency relief (Benini et al., 2009). Earthquakes with Ms ≥ 7 are infrequent, but they constitute natural disasters that pose serious threats to human beings, mainly due to their strong destructive power and poor predictability. In dealing with Ms ≥ 7earthquakes, the site selection of relief supply warehouses can be challenging, as site selection, in this case, is subject to many factors, including the prediction of earthquake-prone areas, the identi cation of areas with casualties, the failure of adjacent relief supply warehouses, and the timeliness of the arrival of relief supplies.

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