Analyzing Transportation and Distribution in Emergency Humanitarian Logistics

Safeer, M.; Anbuudayasankar, S.P.; Balkumar, Kartik; Ganesh, K.

doi:10.1016/j.proeng.2014.12.469

Cited by 57 publications

(34 citation statements)

References 47 publications

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“…Various programming models have been developed for emergency logistics, including linear programming, integer or mixed integer programming, and mixed integer linear programming [7,8]. Safeer et al [9] employed a classification-based method to identify cost functions and constraints for primary emergency operations in relief distribution. Hamedi et al [10] addressed the reliable humanitarian response planning for a fleet of vehicles and proposed a genetic algorithm.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Constraint (8) indicates that the sum of all supply depots is equal to their storage. Constraint (9) indicates that the supply in stage p is the sum of the remaining in stage p − 1 and the supply generated in stage p. Similarly, Constraint (10) states that the demand in stage p is the sum of a new demand generated in stage p and the demand not met in stage p − 1.…”

Section: Sems Modelmentioning

confidence: 99%

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Scenario-Based Emergency Material Scheduling Using V2X Communications

Chen

et al. 2019

Electronics

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Vehicle-to-everything (V2X) communications can be applied in emergency material scheduling due to their performance in collecting and transmitting disaster-related data in real time. The urgency of disaster depots can be judged based on the disaster area video, and the scenario coefficient can be evaluated for building a fairness model. This paper presents a scenario-based approach for emergency material scheduling (SEMS) using V2X communications. We propose a SEMS model, with the objectives of minimum time and maximum fairness in the cases of multiple supply depots, disaster depots, commodities and transport modes for logistics management of relief commodities. We design the SEMS algorithm based on the artificial fish-swarm algorithm to obtain an optimized solution. The results demonstrate that the SEMS model can enhance the fairness of relief scheduling, especially for disaster depots with small demands compared to the Gini and enhanced Theil fairness models. Moreover, the acquired vehicle speed via V2X communications updates the SEMS model in real time, which approaches a solution closer to reality.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Sems Modelmentioning

confidence: 99%

Scenario-Based Emergency Material Scheduling Using V2X Communications

Chen

et al. 2019

Electronics

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“…Using EMF to improve timeliness has been gradually concerned by many researchers, such as Araz [8], Beraldi [9], Geroliminis [10], and Ishii et al [11]. Recent studies further constructed a nonlinear integer open location-routing model for relief distribution problems [12], put forward a typical network flow model [13], and classified these services as casualty transportation and relief distribution problems [14]. ese researches provided fundament solutions to EMF planning and aroused the application of modern modeling methods in this field.…”

Section: Related Literaturementioning

confidence: 99%

Robust Optimization Solution to Emergency Mobile Facility Fleet Size and Location

Lai

Lin

2019

Mathematical Problems in Engineering

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Allocation of emergency mobile facility is the key problem of the emergency response system, which affects the cost and the satisfaction of services for emergency so as to rapidly respond to disasters, contagions, etc. In order to seek a reasonable fleet size and locations of emergency mobile facilities, we propose a two-stage programming model with the objective function of minimizing the total cost. With uncertain characteristics of emergency event, the model conforms to the requirement for noninterruptible service and tries to satisfy all emergency demands. For overcoming the computational difficulty of emergency mobile facility fleet size and location problem, a robust optimization approach and modified ant colony algorithm are employed to obtain solutions. The illustrative example shows that the model can provide a reasonable solution to the determination of the fleet size and locations of emergency mobile facilities and that the risk recognition factor of the model can further guide decision-making.

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“…In the last decade, a large number of studies has been published regarding humanitarian logistics and mathematical modeling. Among them, a number of review articles have been published in the last few years (see Ortuño et al., ; Leiras et al., ; Saafer et al., ; Özdamar and Ertem, ) underlining the importance of multicriteria optimization in the disasters relief field.…”

Section: Literature Reviewmentioning

confidence: 99%

Multicriteria optimization approach to deploy humanitarian logistic operations integrally during floods

Mejía-Argueta

Gaytán

Caballero

et al. 2018

Int Trans Operational Res

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This paper addresses frequent and foreseeable floods in the short‐term preparedness of an imminent event using a multicriteria optimization model integrated with a geographical information system to simulate flood levels, determine the best strategies, and update information. The proposed model takes into account the four main relief operations: location of emergency facilities (i.e., distribution centers, shelters, and meeting points), prepositioning of humanitarian aid, evacuation, and distribution of humanitarian aid. Three criteria are considered in the formulation to minimize: the maximum evacuation flow‐time, the maximum distribution flow‐time, and total cost of relief operations. The approximation to the efficient frontier is built using multiobjective programming through the use of commercial software. The usefulness and robustness of the model are verified using data from one of the worst Mexican floods considering various flood levels created from three key elements in humanitarian logistics. The strategies provided by the proposed methodology are compared with those implemented by the Mexican authorities during the studied disaster.

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Analyzing Transportation and Distribution in Emergency Humanitarian Logistics

Cited by 57 publications

References 47 publications

Scenario-Based Emergency Material Scheduling Using V2X Communications

Scenario-Based Emergency Material Scheduling Using V2X Communications

Robust Optimization Solution to Emergency Mobile Facility Fleet Size and Location

Multicriteria optimization approach to deploy humanitarian logistic operations integrally during floods

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