A bi-objective robust model for emergency resource allocation under uncertainty

Hu, Chenlian; Xiao, Liu; Hua, Yuwei

doi:10.1080/00207543.2016.1191692

Cited by 64 publications

(32 citation statements)

References 27 publications

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“…Manopiniwes et al (2017) [7] consider equity by using a p-center approach to minimize the maximum response time between facilities and disaster sites in a relief supply chain. Hu et al (2016) [8] consider fairness by maximizing the minimal satisfaction rate of demand points in a disaster relief allocation problem. Huang et al (2012) [9] introduce three equity metrics in a vehicle routing and supply allocation problem, two of which are deviation-type equity metrics (range and standard deviation), and they are adopted as optimization objectives.…”

Section: Fairnessmentioning

confidence: 99%

“…Constraints (8)- (10) together guarantee that the number of people allocated to one location site does not exceed its available capacity. In Constraint (8), the available capacity of point j equals the unit capacity C if point j is chosen at the beginning of the first period, else it equals zero.…”

Section: Constraintsmentioning

confidence: 99%

“…It can be seen that fairness consideration is important and should be included in post-disaster victim resettlement decisions. Some existing studies consider fairness principles in disaster relief logistics (see, for example, [6][7][8][9]). However, resettlement planning considering fairness is still limited.…”

Section: Introductionmentioning

confidence: 99%

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A Dynamic Shelter Location and Victim Resettlement Model Considering Equitable Waiting Costs

Wang

Chen

2020

IJERPH

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Catastrophic natural disasters cause devastating damage and leave a huge number of homeless people. Waiting for resettlement in a post-disaster environment brings human suffering, which is defined by waiting cost in this paper. Taking into account waiting cost and fairness consideration simultaneously, a mixed integer linear programming model is constructed for the multiperiod location-allocation process. Two fairness indicators are incorporated to guarantee both the whole-process equity and the periodic equity. The model is implemented in the General Algebraic Modeling System (GAMS) and solved by the CPLEX solver. An illustrative example is provided to explain the model characteristics. Furthermore, a case study of the Yushu earthquake is conducted to demonstrate the applicability of the model to practical problems.

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Section: Fairnessmentioning

confidence: 99%

Section: Constraintsmentioning

confidence: 99%

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A Dynamic Shelter Location and Victim Resettlement Model Considering Equitable Waiting Costs

Wang

Chen

2020

IJERPH

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“…In Su et al [Su, Zhang, Liu et al (2016)], Su et al proposed a heuristic to repair infeasible encodings based on differential evolution from traditional one-dimensional realnumber encoding to two-dimensional integer vector encoding. A coefficient to measure fairness was selected and a bi-objective heuristic particle swarm optimization algorithm to search the Pareto frontier in Hu et al [Hu, Liu and Hua (2016)]. In Luscombe et al [Luscombe and Kozan (2016)], dispatch heuristics, disjunctive graph methods and metaheuristic search was used to provide fast solutions respond to unscheduled tasks.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Resource Scheduling in Emergency Environment

Yan¹,

Kong²,

Fu³

2019

Journal of Information Hiding and Privacy Protection

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Nowadays, emergency accidents could happen at any time. The accidents occur unpredictably and the accidents requirements are diversely. The accidents happen in a dynamic environment and the resource should be cooperative to solve the accidents. Most methods are focusing on minimizing the casualties and property losses in a static environment. However, they are lack in considering the dynamic and unpredictable event handling. In this paper, we propose a representative environmental model in representation of emergency and dynamic resource allocation model, and an adaptive mathematical model based on Genetic Algorithm (GA) to generate an optimal set of solution domain. The experimental results show that the proposed algorithm can get a set of better candidate solutions.

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“…Research shows that natural disasters impact people with increasing frequency [2]. Site selection of emergency shelters (ESs) and emergency resource allocation have been studied in many disaster risk reduction projects, as they can provide safe havens, medical care, and life-saving resources for refugees [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Optimization on Hierarchical Refugee Evacuation and Resource Allocation for Disaster Management

Wang

Shen

2020

Mathematical Problems in Engineering

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This paper studies a location-allocation problem to determine the selection of emergency shelters, medical centers, and distribution centers after the disaster. The evacuation of refugees and allocation of relief resources are also considered. A mixed-integer nonlinear multiobjective programming model is proposed to characterize the problem. The hierarchical demand of different refugees and the limitations of relief resources are considered in the model. We employ a combination of the simulated annealing (SA) algorithm and the particle swarm optimization (PSO) algorithm method to solve the complex model. To optimize the result of our proposed algorithm, we absorb the group search, crossover, and mutation operator of GA into SA. We conduct a case study in a district of Beijing in China to validate the proposed methodology. Some computational experiments are conducted to analyze the impact of different factors, such as the target weight setting, selection of candidate shelters, and quantity of relief resources.

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A bi-objective robust model for emergency resource allocation under uncertainty

Cited by 64 publications

References 27 publications

A Dynamic Shelter Location and Victim Resettlement Model Considering Equitable Waiting Costs

A Dynamic Shelter Location and Victim Resettlement Model Considering Equitable Waiting Costs

Dynamic Resource Scheduling in Emergency Environment

Multiobjective Optimization on Hierarchical Refugee Evacuation and Resource Allocation for Disaster Management

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