OR/MS research perspectives in disaster operations management: a literature review

Authors

DOI:

https://doi.org/10.17533/10.17533/udea.redin.n91a05

Keywords:

Disaster, Emergency management, Humanitarian logistics, Operations research

Abstract


The unpredictability of natural disasters makes handling their impacts on the population, the environment and the economic resources a challenging decision-making process that must be wisely performed in a very short period of time. An adequate management of operations to disaster response is challenging for decision makers and it has become a topic of significant relevance on a worldwide basis. As a result, academics and practitioners in the field of OR/MS have increased their interest in developing tools to support the decision-making processes on a disaster scenario. This paper surveys the OR/MS literature to identify new trends of increasing interest in disaster operations management (DOM) that have emerged in the last years. A discussion on the gaps that have been successfully addressed in the last years and those that remain opened is also presented. Among the main findings, the recent use of methodologies based on data analysis, such as machine learning and data mining, to address DOM problems was identified. Moreover, a significant increase in the study of operations in the recovery phase and the inclusion of humanitarian objectives in mathematical models was established.

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Author Biographies

Henry Lamos Díaz, Industrial University of Santander

School of Industrial and Business Studies, Faculty of Physical-mechanical Engineering.

Karin Julieth Aguilar Imitola, Industrial University of Santander

School of Industrial and Business Studies, Faculty of Physical-mechanical Engineering.

Rolando José Acosta Amado, ICESI University

Department of Industrial Engineering, Faculty of Engineering.

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2019-04-22

How to Cite

Lamos Díaz, H., Aguilar Imitola, K. J., & Acosta Amado, R. J. (2019). OR/MS research perspectives in disaster operations management: a literature review. Revista Facultad De Ingeniería Universidad De Antioquia, (91), 43–59. https://doi.org/10.17533/10.17533/udea.redin.n91a05