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| DOI | 10.1111/POMS.12643 | ||||
| Año | 2017 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Debris generated by disasters can hinder relief efforts and result in devastating economic, environmental, and health problems. In this study, we present a decision-support tool employing analytical models to assist disaster and waste management officials with decisions regarding collection, transportation, reduction, recycling, and disposal of debris. The tool enables optimizing and balancing the financial and environmental costs, duration of the collection and disposal operations, landfill usage, and the amount of recycled materials. In addition to post-disaster operational decisions, the tool can also support the challenging task of developing strategic plans for disaster preparedness. We illustrate the applicability and effectiveness of the tool with a disaster scenario based on Hurricane Andrew.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Lorca, Alvaro | Hombre |
Pontificia Universidad Católica de Chile - Chile
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| 2 | Celik, Melih | Hombre |
Middle East Tech Univ - Turquía
Middle East Technical University (METU) - Turquía |
| 3 | Ergun, Ozlem | - |
Northeastern Univ - Estados Unidos
Northeastern University - Estados Unidos |
| 4 | Keskinocak, Pınar | Mujer |
Georgia Inst Technol - Estados Unidos
Georgia Institute of Technology - Estados Unidos |
| Agradecimiento |
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| This research has been supported in part by National Science Foundation Grants CMMI-1000085, CMMI-1034840, and CMMI-1538860 and by the following Georgia Tech benefactors: William W. George, Andrea Laliberte, Joseph C. Mello, Richard "Rick" E, and Charlene Zalesky. The authors are grateful to the senior editor, the referees, and the special issue editor Professor George Shanthikumar for their constructive comments and suggestions. |
| This research has been supported in part by National Science Foundation Grants CMMI-1000085, CMMI-1034840, and CMMI-1538860 and by the following Georgia Tech benefactors: William W. George, Andrea Laliberte, Joseph C. Mello, Richard “Rick” E, and Charlene Zalesky. The authors are grateful to the senior editor, the referees, and the special issue editor Professor George Shanthikumar for their constructive comments and suggestions. |