Solving an Emergency Resource Planning Problem with Deprivation Time by a Hybrid MetaHeuristic Algorithm | ||
| Journal of Quality Engineering and Production Optimization | ||
| مقاله 5، دوره 5، شماره 1، شهریور 2020، صفحه 65-86 اصل مقاله (1.27 M) | ||
| نوع مقاله: 15th IIEC conference selected papers | ||
| شناسه دیجیتال (DOI): 10.22070/jqepo.2020.5379.1150 | ||
| نویسندگان | ||
| Sina Nayeri1؛ Reza Tavakkoli-Moghaddam* 2؛ Zeinab Sazvar1؛ Jafar heydari1 | ||
| 1School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran | ||
| 2School of Industrial Engineering, College of Engineering, University of Tehran, P.O. Box: 11155-4563, Tehran, Iran | ||
| چکیده | ||
| – Every year, natural disasters (e.g., floods and earthquakes) threaten people's lives and finances. To cope with the damage of natural disasters, emergency resources (e.g., rescue teams) must be planned efficiently. Therefore, designing a decision support model to allocate and schedule rescue teams is necessary for the response phase of disaster management. The literature review shows that social aspects of disaster management have less been addressed by researchers, whereas this phenomenon must be incorporated into decision-making processes. The lack of timely relief implies a loss in people's welfare, which leads to social costs called deprivation cost or time. This study proposes a multi-objective mixed-integer programming model to assign and schedule the rescue teams considering different rescuers' capabilities, fatigue effects, and deprivation time. Due to the NP-Hardness of the proposed model, a hybrid approach based on the Lp-metric method and meta-heuristic algorithms are applied to solve the given problem. The results show that the developed algorithm can obtain high-quality solutions in a reasonable time. | ||
| کلیدواژهها | ||
| Disaster management؛ Deprivation time؛ Fatigue effect؛ Genetic algorithm؛ Particle swarm optimization | ||
| مراجع | ||
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