  Effective placement of emergency rescue resources, particularly with joint
suppliers in complex disaster scenarios, is crucial for ensuring the
reliability, efficiency, and quality of emergency rescue activities. However,
limited research has considered the interaction between different disasters and
material classification, which are highly vital to the emergency rescue. This
study provides a novel and practical framework for reliable strategies of
emergency rescue under complex disaster scenarios. The study employs a
scenario-based approach to represent complex disasters, such as earthquakes,
mudslides, floods, and their interactions. In optimizing the placement of
emergency resources, the study considers government-owned suppliers, framework
agreement suppliers, and existing suppliers collectively supporting emergency
rescue materials. To determine the selection of joint suppliers and their
corresponding optimal material quantities under complex disaster scenarios, the
research proposes a multi-objective model that integrates cost, fairness,
emergency efficiency, and uncertainty into a facility location problem.
Finally, the study develops an NSGA-II-XGB algorithm to solve a disaster-prone
province example and verify the feasibility and effectiveness of the proposed
multi-objective model and solution methods. The results show that the
methodology proposed in this paper can greatly reduce emergency costs, rescue
time, and the difference between demand and suppliers while maximizing the
coverage of rescue resources. More importantly, it can optimize the scale of
resources by determining the location and number of materials provided by joint
suppliers for various kinds of disasters simultaneously. This research
represents a promising step towards making informed configuration decisions in
emergency rescue work.
