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Effective placement of emergency rescue resources, particularly with jointsuppliers in complex disaster scenarios, is crucial for ensuring thereliability, efficiency, and quality of emergency rescue activities. However,limited research has considered the interaction between different disasters andmaterial classification, which are highly vital to the emergency rescue. Thisstudy provides a novel and practical framework for reliable strategies ofemergency rescue under complex disaster scenarios. The study employs ascenario-based approach to represent complex disasters, such as earthquakes,mudslides, floods, and their interactions. In optimizing the placement ofemergency resources, the study considers government-owned suppliers, frameworkagreement suppliers, and existing suppliers collectively supporting emergencyrescue materials. To determine the selection of joint suppliers and theircorresponding optimal material quantities under complex disaster scenarios, theresearch 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-proneprovince example and verify the feasibility and effectiveness of the proposedmulti-objective model and solution methods. The results show that themethodology proposed in this paper can greatly reduce emergency costs, rescuetime, and the difference between demand and suppliers while maximizing thecoverage of rescue resources. More importantly, it can optimize the scale ofresources by determining the location and number of materials provided by jointsuppliers for various kinds of disasters simultaneously. This researchrepresents a promising step towards making informed configuration decisions inemergency rescue work.

Emergency Resource Layout with Multiple Objectives under Complex Disaster Scenarios