Humanitarian logistics in the disaster risk reduction perspective: theory and applications
This book aims to clarify the priorities of the Sendai Framework for the DRR 2015 – 2030, through gathering recent contributions addressing the different ways researchers define, measure, reduce, and manage risk in the challenge of the DRR. Beyond a discussion of the different definitions of disaster risk; this book provides contributions focused on optimization approaches that support the decision-making process in the challenge of managing DRR problems considering emerging disaster risks in the medium and long term, as well as national and local applications. Some of the topics covered include network flow problems, stochastic optimization, discrete optimization, multi-objective programming, approximation techniques, and heuristic approaches. The target audience of the book includes professionals who work in Linear Programming, Logistics, Optimization (Mathematical, Robust, Stochastic), Management Science, Mathematical Programming, Networks, Scheduling, Simulation, Supply Chain Management, Sustainability, and similar areas. It can be useful for researchers, academics, graduate students, and anyone else doing research in the field.
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Cham (Switzerland) Springer Nature
2022
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| Subjects: | climate change mitigation, carbon dioxide, emission reduction, disaster risk reduction, disaster preparedness, disaster recovery, disaster relief, SDGs, Goal 13 Climate action, |
| Online Access: | https://link-springer-com.fao.idm.oclc.org/book/10.1007/978-3-030-90877-5#about |
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unfao:8565632022-03-22T11:30:25ZHumanitarian logistics in the disaster risk reduction perspective: theory and applications 1423211784414 Regis-Hernández, F. (ed.) 1423211784415 Mora-Vargas, J. (ed.) 1423211784416 Sánchez-Partida, D. (ed.) 1423211762551 Ruiz, A. (ed.) textCham (Switzerland) Springer Nature2022engThis book aims to clarify the priorities of the Sendai Framework for the DRR 2015 – 2030, through gathering recent contributions addressing the different ways researchers define, measure, reduce, and manage risk in the challenge of the DRR. Beyond a discussion of the different definitions of disaster risk; this book provides contributions focused on optimization approaches that support the decision-making process in the challenge of managing DRR problems considering emerging disaster risks in the medium and long term, as well as national and local applications. Some of the topics covered include network flow problems, stochastic optimization, discrete optimization, multi-objective programming, approximation techniques, and heuristic approaches. The target audience of the book includes professionals who work in Linear Programming, Logistics, Optimization (Mathematical, Robust, Stochastic), Management Science, Mathematical Programming, Networks, Scheduling, Simulation, Supply Chain Management, Sustainability, and similar areas. It can be useful for researchers, academics, graduate students, and anyone else doing research in the field. This book aims to clarify the priorities of the Sendai Framework for the DRR 2015 – 2030, through gathering recent contributions addressing the different ways researchers define, measure, reduce, and manage risk in the challenge of the DRR. Beyond a discussion of the different definitions of disaster risk; this book provides contributions focused on optimization approaches that support the decision-making process in the challenge of managing DRR problems considering emerging disaster risks in the medium and long term, as well as national and local applications. Some of the topics covered include network flow problems, stochastic optimization, discrete optimization, multi-objective programming, approximation techniques, and heuristic approaches. The target audience of the book includes professionals who work in Linear Programming, Logistics, Optimization (Mathematical, Robust, Stochastic), Management Science, Mathematical Programming, Networks, Scheduling, Simulation, Supply Chain Management, Sustainability, and similar areas. It can be useful for researchers, academics, graduate students, and anyone else doing research in the field. climate change mitigationcarbon dioxideemission reductiondisaster risk reductiondisaster preparednessdisaster recoverydisaster reliefSDGsGoal 13 Climate actionhttps://link-springer-com.fao.idm.oclc.org/book/10.1007/978-3-030-90877-5#aboutURN:ISBN:978-3-030-90876-8 (print)URN:ISBN:978-3-030-90877-5 (online) |
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climate change mitigation carbon dioxide emission reduction disaster risk reduction disaster preparedness disaster recovery disaster relief SDGs Goal 13 Climate action climate change mitigation carbon dioxide emission reduction disaster risk reduction disaster preparedness disaster recovery disaster relief SDGs Goal 13 Climate action |
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climate change mitigation carbon dioxide emission reduction disaster risk reduction disaster preparedness disaster recovery disaster relief SDGs Goal 13 Climate action climate change mitigation carbon dioxide emission reduction disaster risk reduction disaster preparedness disaster recovery disaster relief SDGs Goal 13 Climate action 1423211784414 Regis-Hernández, F. (ed.) 1423211784415 Mora-Vargas, J. (ed.) 1423211784416 Sánchez-Partida, D. (ed.) 1423211762551 Ruiz, A. (ed.) Humanitarian logistics in the disaster risk reduction perspective: theory and applications |
| description |
This book aims to clarify the priorities of the Sendai Framework for the DRR 2015 – 2030, through gathering recent contributions addressing the different ways researchers define, measure, reduce, and manage risk in the challenge of the DRR. Beyond a discussion of the different definitions of disaster risk; this book provides contributions focused on optimization approaches that support the decision-making process in the challenge of managing DRR problems considering emerging disaster risks in the medium and long term, as well as national and local applications. Some of the topics covered include network flow problems, stochastic optimization, discrete optimization, multi-objective programming, approximation techniques, and heuristic approaches.
The target audience of the book includes professionals who work in Linear Programming, Logistics, Optimization (Mathematical, Robust, Stochastic), Management Science, Mathematical Programming, Networks, Scheduling, Simulation, Supply Chain Management, Sustainability, and similar areas. It can be useful for researchers, academics, graduate students, and anyone else doing research in the field.
|
| format |
Texto |
| topic_facet |
climate change mitigation carbon dioxide emission reduction disaster risk reduction disaster preparedness disaster recovery disaster relief SDGs Goal 13 Climate action |
| author |
1423211784414 Regis-Hernández, F. (ed.) 1423211784415 Mora-Vargas, J. (ed.) 1423211784416 Sánchez-Partida, D. (ed.) 1423211762551 Ruiz, A. (ed.) |
| author_facet |
1423211784414 Regis-Hernández, F. (ed.) 1423211784415 Mora-Vargas, J. (ed.) 1423211784416 Sánchez-Partida, D. (ed.) 1423211762551 Ruiz, A. (ed.) |
| author_sort |
1423211784414 Regis-Hernández, F. (ed.) |
| title |
Humanitarian logistics in the disaster risk reduction perspective: theory and applications |
| title_short |
Humanitarian logistics in the disaster risk reduction perspective: theory and applications |
| title_full |
Humanitarian logistics in the disaster risk reduction perspective: theory and applications |
| title_fullStr |
Humanitarian logistics in the disaster risk reduction perspective: theory and applications |
| title_full_unstemmed |
Humanitarian logistics in the disaster risk reduction perspective: theory and applications |
| title_sort |
humanitarian logistics in the disaster risk reduction perspective: theory and applications |
| publisher |
Cham (Switzerland) Springer Nature |
| publishDate |
2022 |
| url |
https://link-springer-com.fao.idm.oclc.org/book/10.1007/978-3-030-90877-5#about |
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