Integrated decision making model for urban disaster management: A multi-objective genetic algorithm approach

Esmaeili, V.; Barzinpour, Farnaz

doi:10.5267/j.ijiec.2013.08.004

Cited by 12 publications

(4 citation statements)

References 20 publications

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“…Disasters place extraordinary demands on an affected region's corporate and governmental organisational capacities [22]. Disaster management covers three main phases: disaster preparedness, disaster relief, and disaster recovery and requalification.…”

Section: Risk Managementmentioning

confidence: 99%

Risk Analysis of Transport Requalification Projects in the Urban Mobility Problem Caused by a Mining Disaster

Fontana,

Levino,

Leão

et al. 2023

Logistics

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Background: This paper proposes a risk analysis of transport requalification projects in the urban mobility problem caused by a mining disaster related to irregular rock salt extraction in the city of Maceió, Brazil. Methods: The model is composed of three main steps: problem definition, risk management, and decision analysis. For this purpose, we used the Picture Fuzzy-Delphi method for data collection and experts’ judgment elicitation and the Delphi method was used to assess the problem without interference from others. In addition, we used Picture Fuzzy Sets (PFSs) to incorporate uncertain information in the decision-making process. Results: The results of the proposed model demonstrated consistency and relevance to the discussion. The application of methods shows the risks of the project based on a general perspective. It evaluates the sustainability tripod: economic, environmental, and social points of view, assessing the occurrence risk and intensity of the risk. Conclusions: The main objective of the work was achieved; however, some limitations of this study are related to the methods used to assess risks and the options of projects of requalification available at the moment of data analysis. This paper contributes because it systematizes the risk management of projects related to requalification in urban mobility.

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Section: Risk Managementmentioning

confidence: 99%

Risk Analysis of Transport Requalification Projects in the Urban Mobility Problem Caused by a Mining Disaster

Fontana,

Levino,

Leão

et al. 2023

Logistics

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“…The information supports a formulation including three objective functions seeking to maximise coverage, minimise location cost and minimise operational cost. Esmaeili and Barzinpour (2014) extended that by considering areas outside of the region. Rodríguez-Espíndola and Gaytán (2015) incorporated a GIS analysis to discard floodable facilities and identify road failures.…”

Section: Logistical Activities In Disaster Preparednessmentioning

confidence: 99%

Disaster preparedness in humanitarian logistics: A collaborative approach for resource management in floods

Rodríguez-Espíndola

Albores

Brewster

2018

European Journal of Operational Research

160

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The logistical deployment of resources to provide relief to disaster victims and the appropriate planning of these activities are critical to reduce the suffering caused. Disaster management attracts many organisations working alongside each other and sharing resources to cope with an emergency.Consequently, successful operations rely heavily on the collaboration of different organisations.Despite this, there is little research considering the appropriate management of resources from multiple organisations, and none optimising the number of actors required to avoid shortages or convergence.This research introduces a disaster preparedness system based on a combination of multi-objective optimisation and geographical information systems to aid multi-organisational decision-making. A cartographic model is used to avoid the selection of floodable facilities, informing a bi-objective optimisation model used to determine the location of emergency facilities, stock prepositioning, resource allocation and relief distribution, along with the number of actors required to perform these activities.The real conditions of the flood of 2013 in Acapulco, Mexico, provided evidence of the inability of any single organisation to cope with the situation independently. Moreover, data collected showed the unavailability of enough resources to manage a disaster of that magnitude at the time. The results highlighted that the number of government organisations deployed to handle the situation was excessive, leading to high cost without achieving the best possible level of satisfaction. The system proposed showed the potential to achieve better performance in terms of cost and level of service than the approach currently employed by the authorities.Keywords: Humanitarian logistics, multiple objective programming, OR in disaster relief, disaster preparedness. THEORETICAL FRAMEWORK2.

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“…They proposed an epsilonconstraint method for this problem. Esmaeili and Barzinpour [29] based on a real world case study for a municipal district in Tehran developed a multiobjective mathematical model for the location-distribution problem.…”

Section: Journal Of Applied Mathematicsmentioning

confidence: 99%

Metaheuristic Algorithm for Solving Biobjective Possibility Planning Model of Location-Allocation in Disaster Relief Logistics

Barzinpour

Saffarian

Makoui

et al. 2014

Journal of Applied Mathematics

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Thousands of victims and millions of affected people are hurt by natural disasters every year. Therefore, it is essential to prepare proper response programs that consider early activities of disaster management. In this paper, a multiobjective model for distribution centers which are located and allocated periodically to the damaged areas in order to distribute relief commodities is offered. The main objectives of this model are minimizing the total costs and maximizing the least rate of the satisfaction in the sense of being fair while distributing the items. The model simultaneously determines the location of relief distribution centers and the allocation of affected areas to relief distribution centers. Furthermore, an efficient solution approach based on genetic algorithm has been developed in order to solve the proposed mathematical model. The results of genetic algorithm are compared with the results provided by simulated annealing algorithm and LINGO software. The computational results show that the proposed genetic algorithm provides relatively good solutions in a reasonable time.

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Integrated decision making model for urban disaster management: A multi-objective genetic algorithm approach

Cited by 12 publications

References 20 publications

Risk Analysis of Transport Requalification Projects in the Urban Mobility Problem Caused by a Mining Disaster

Risk Analysis of Transport Requalification Projects in the Urban Mobility Problem Caused by a Mining Disaster

Disaster preparedness in humanitarian logistics: A collaborative approach for resource management in floods

Metaheuristic Algorithm for Solving Biobjective Possibility Planning Model of Location-Allocation in Disaster Relief Logistics

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