The era of big data and analytics is opening up new possibilities for disaster management
(DM). Due to its ability to visualize, analyze and predict disasters, big data is changing the …

With the trend of global warming and destructive human activities, the frequent occurrences
of catastrophes have posed devastating threats to human life and social stability worldwide …

Businesses are increasingly subject to disruptions. It is almost impossible to predict their
nature, time and extent. Therefore, organizations need a proactive approach equipped with …

Disasters are large intractable problems that test the ability of communities and nations to
effectively protect their populations and infrastructure, to reduce both human and property …

Pre‐positioning emergency inventory in selected facilities is commonly adopted to prepare
for potential disaster threat. In this study, we simultaneously optimize the decisions of facility …

Modern society depends on the operations of civil infrastructure systems, such as
transportation, energy, telecommunications, and water. These systems have become so …

Path selection is one of the fundamental problems in emergency logistics management. Two
mathematical models for path selection in emergency logistics management are presented …

Based on the shortest scheduling time of emergency cold chain logistics resources, the
mathematical model of emergency cold chain logistics scheduling, including the loss of the …

Over the past 50 years, a wealth of applications has resulted from researchers turning their
attention to operations such as fire suppression, law enforcement and ambulance services …

Supply systems are subject to disruptions whose impact may not remain confined, but might
actually propagate across the network. We consider the problem of optimally protecting a …