Disaster Risk Reduction in Mexico

Methodologies, Case Studies, and Prospective Views

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Éditeur :

Springer

Paru le : 2021-04-13

This book recognizes Mexico's effects and challenges in a natural disaster and offers empirical risk-reduction methods in critical cases. The proposals considered here include real and detailed analysis, a set of models, frameworks, strategies, and findings in the three stages of the disaster (...
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Pages
380 pages

EAN papier
9783030672942

Diana Sánchez-Partida is Professor–Researcher and Academic Director of the Postgraduate in Logistics and Supply Chain Management at Universidad Popular Autónoma del Estado de Puebla (UPAEP) in Mexico. Sánchez-Partida is the leader of the Humanitarian Logistics Group in the same institution. She received a Ph.D. in Logistics and Supply Chain Management. She has been granted a doctorate and post-doctorate scholarship by CONACyT. Since 2018, she has been a member of the National Council of Researchers (SNI level 1) in Mexico.  Her research areas of interest are Disaster Risk Reduction, Humanitarian Logistics, Resilience in Economic Activities, and Logistics Operations.José-Luis Martínez-Flores is a researcher of the Postgraduate in Logistics and Supply Chain Management at Universidad Popular Autonoma del Estado de Puebla (UPAEP) in Mexico. He received a Ph.D. in Mathematics. His objectives in research are the optimization and implementation of models for problems in the field of logistics through the use of information technologies. He is a member of the National Council of Researchers (SNI level 1) in Mexico.Santiago-Omar Caballero-Morales is Professor-Researcher in the Department of Logistics and Supply Chain Management at Universidad Popular Autonoma del Estado de Puebla (UPAEP) in Mexico. In 2009, he received a Ph.D. in Computer Science from the University of East Anglia in the UK. Since 2011, he has been a member of the National Council of Researchers (SNI level 1) in Mexico. His research interests are quality control, operations research, combinatorial optimization, pattern recognition, analysis and simulation of manufacturing processes, and human–robot interaction.Patricia Cano-Olivos is a professor-researcher in the Department of Logistics and Supply Chain Management at Universidad Popular Autonoma del Estado de Puebla (UPAEP) in Mexico. She received a Ph.D. in Logistics and Supply Chain Management. Her research interests are risks in the Supply Chain and Logistics management models. She is a member of the National Council of Researchers (SNI level 1) in Mexico.

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EAN PDF
9783030672959
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52,74 €
Nombre pages copiables
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Nombre pages imprimables
38
Taille du fichier
15022 Ko
EAN EPUB
9783030672959
Prix
52,74 €
Nombre pages copiables
3
Nombre pages imprimables
38
Taille du fichier
60518 Ko

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