Overview
Discusses emerging themes related to building resilience through a Disaster Risk Reduction,
Enriches the understanding of the primary concern of the Sendai Framework for Disaster Risk Reduction 2015–2030
Insights into the decision-making process based on risk reduction factors in humanitarian logistics
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Table of contents (18 chapters)
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Pre-Disaster
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Post-Disaster
Keywords
About this book
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
Editors and Affiliations
About the editors
Fabiola Regis Hernández Ph.D., is a professor in the Industrial Engineering Department of the Engineering and Sciences School of Tecnologico de Monterrey (San Luis Potosi, Mexico). Her research interests are on network flow problems, discrete optimization, multi-objective programming, approximation techniques, and heuristic approaches. Her research is focused on real-life applications, such as humanitarian logistics, healthcare, and emergency management systems. Her research has been developed in collaboration with Université Laval, HEC Montreal, and Istituto di Matematica Applicata e Tecnologie Informatiche (IMATI).
Jaime Mora-Vargas, Ph.D., is a professor-researcher in Tecnologico de Monterrey (Estado de Mexico, Mexico). His research area includes the development and implementation of algorithms for the solution of combinatorial problems, based on hybridizations between algorithms exact and advanced artificial intelligence methods. His work has been developed in collaboration with renowned groups of institutions such as MIT, HEC Montreal, Université Laval, Eindhoven University of Technology, Naval School of Cadets Almirante Padilla, among others. Diana Sánchez-Partida is Professor–Researcher and Academic Director of the Postgraduate in Logistics and Supply Chain Management at Universidad Popular Autonoma del Estado de Puebla (UPAEP) in Mexico. She 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, among others.Angel Ruiz, Ph.D, is a professor at Université Laval in Canada. He is member of the Interuniversity Research Center on Entreprise Networks, Logistics and Transportation (CIRRELT) and of the FOR@C research consortium. His main research interests are operations research applied to healthcare systems and emergency logistics management. He has published more than 50 scientific articles in international journals related to these disciplines, and he regularly presents his research works in focused international conferences, such as ORAHS or HCSE.
Bibliographic Information
Book Title: Humanitarian Logistics from the Disaster Risk Reduction Perspective
Book Subtitle: Theory and Applications
Editors: Fabiola Regis-Hernández, Jaime Mora-Vargas, Diana Sánchez-Partida, Angel Ruiz
DOI: https://doi.org/10.1007/978-3-030-90877-5
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-90876-8Published: 15 February 2022
Softcover ISBN: 978-3-030-90879-9Published: 16 February 2023
eBook ISBN: 978-3-030-90877-5Published: 14 February 2022
Edition Number: 1
Number of Pages: XII, 516
Number of Illustrations: 54 b/w illustrations, 124 illustrations in colour
Topics: Natural Hazards, Risk Management, Environmental Management, Artificial Intelligence, Probability Theory and Stochastic Processes, Monitoring/Environmental Analysis