This paper provides a comprehensive review of the research done on facility location
problems under uncertainty in a humanitarian context. The major goal is to summarize and …

A large number of problems involve making decisions in an uncertain environment and,
hence, with unknown outcomes. Optimization models aimed at controlling the trade‐off …

Disasters such as fires, earthquakes, and floods cause severe casualties and enormous
economic losses. One effective method to reduce these losses is to construct a disaster relief …

Natural disasters are highly unpredictable, with varying degrees of magnitude, and thus
require a reliable and robust humanitarian relief network. Faced with the adverse effects of …

Selecting trustworthy suppliers is one of the most critical issues in disaster operations
management (DOM), ensuring efficient procurement of relief supplies and preventing or …

This paper presents a two-stage stochastic programming model for integrating decisions on
pre-disaster inventory level and post-disaster procurement quantity with supplier selection in …

Relief logistics is vital to disaster relief management. Herein, a risk-averse two-stage
distributionally robust programming model is proposed to provide decision support for …

We study the problem of selecting a set of shelter locations in preparation for natural
disasters. Shelters provide victims of a disaster both a safe place to stay and relief …

We study a network improvement problem to increase the resilience of a transportation
network against disasters. This involves optimizing pre-disaster investment decisions to …

Problems related to disaster management are strongly influenced by random outcomes,
which indicates the importance of using a mathematical tool that can coherently take into …