Major disasters can bring secondary disasters and a variety of other outcomes, such as impassable roads, and conditions can change dramatically in a short period of time. This creates an urgent need to quickly formulate schedules for recovery work and to take swift action. However, since conditions can change even as plans are being formulated, it is difficult to perform the calculations based on massive volumes of data in real-time needed to propose an ideal plan that reflects those changing conditions.
Fujitsu Laboratories and IMI have developed a numerical-optimisation technology that runs on a supercomputer to efficiently formulate large-scale recovery plans while taking into account complex conditions on the ground, creating real-time scheduling for recovery work.
This makes it possible to put together the newest recovery plans that respond to evolving conditions, such as changes in the extent of the affected area or the pace of recovery work, contributing to better optimised disaster responses.