A dynamic model for disaster response considering prioritized demand points |
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| Affiliation: | 1. Director of the Center for Infrastructure, Transportation, and the Environment, Department of Civil and Environmental Engineering, Rensselaer Polytechnic Institute, 110 8th St., Troy, NY 12180, USA;2. Department of Supply Chain and Information Systems, Iowa State University, 2340 Gerdin Business Building, Ames, IA 50011, USA;3. Department of Civil and Environmental Engineering, Fundación Universidad del Norte, Km 5 Vía a Puerto Colombia, Barranquilla, Colombia;4. Academic Director Humanitarian Research Group, INSEAD, Fontainebleau, France;5. Department of Industrial and Systems Engineering, Ohio University, 1 Ohio University, Athens OH 45701, USA;6. Department of Civil and Environmental Engineering, University of California, One Shields Avenue, Davis, CA 95616, USA;1. School of Industrial Engineering and Engineering Optimization Research Group, College of Engineering, University of Tehran, Tehran, Iran;2. LCFC, Arts et Métiers ParisTech, Metz, France;3. Department of Operations Management & Strategy, School of Management, State University of New York at Buffalo, Buffalo, NY, USA;1. Department of Mechanical and Industrial Engineering, College of Engineering, Qatar University, 2713 Doha, Qatar;2. Department of Civil and Environmental Engineering, Rensselaer Polytechnic Institute, JEC 4030, 110 8th Street, Troy, NY 12180, USA;1. Production Engineering Department, Federal University of São Carlos, Sorocaba, Brazil;2. Department of Physics, Chemistry, and Mathematics, Federal University of São Carlos, Sorocaba, Brazil;1. Department of Industrial and Systems Engineering, National University of Singapore, Singapore 117576, Singapore;2. Scientific Computing Team (Asia Pacific), BASF Advanced Chemicals Co., Ltd., Shanghai 200137, China;3. Faculty of Economics, Fukuoka University, Fukuoka 814-0180, Japan;4. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore |
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| Abstract: | This paper addresses the problem of distributing relief supplies after the occurrence of a disaster. We develop a dynamic model to serve demand, while prioritizing the response, according to the level of urgency of demand points. Our model is thought to be applied during a planning horizon and it considers dynamic demand, capacity constraints and priorities. To evaluate the applicability of our model, we use a real case study of a flood occurred in Colombia. We also test the computational solvability of our model and we propose and test different solution methodologies for solving larger instances of our problem. |
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| Keywords: | Disaster management Optimization Humanitarian logistics Prioritized demand |
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