 Develop an optimisation model for relief facility location in disasterAmirmasoud Soltanzadeh, Vahid Baradaran and Faezeh Soltanzadeh International Journal of Mathematics in Operational Research, 2022, vol. 22, issue 4, 449-467 Abstract: This research was conducted to study the issue of relief facility location hierarchically by consideration of possible road closure during the disaster, road safety, and arrival time of relief facility under disaster circumstances. A multi-objective model was developed to minimise the pre-disaster and pro-disaster costs. The main contribution of this study is road safety and reduction in time taken to have a critical facility in affected areas. To investigate the functional accuracy of the mathematical model, a numerical example with small dimensions was solved using CPLEX solver, and required sensitivity analysis was described. As the facility location-allocation is an NP-hard issue, three metaheuristic algorithms were used to solve numerical representations in real dimensions to examine numerical analyses effectively. Results showed that the grey wolf algorithm had the highest efficiency compared to other developed algorithms. The obtained results can be used as an efficient managerial tool in management organisations involved in the disaster. Keywords: hierarchical location; disaster management; multi-objective optimisation model; metaheuristic algorithms. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmore:v:22:y:2022:i:4:p:449-467 Access Statistics for this article More articles in International Journal of Mathematics in Operational Research from Inderscience Enterprises Ltd |
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