Scheduling Optimization of Mobile Emergency Vehicles Considering Dual Uncertainties
Source abstract
Abstract
Compared with the traditional operation mode of emergency vehicles, the mobile emergency vehicle is regarded as a new type of emergency facility carrier with the features of variable locations, flexible mobility, and intelligent decision-making. It can provide an effective solution to reasonably respond to the uncertain risks of sudden disasters. Focusing on meeting the maximum demand for materials and services in disaster areas, this paper proposes a scheduling model of mobile emergency vehicles with dual uncertainty of path and demand. The model, solved by an integer-coding hybrid genetic algorithm, aims to obtain minimum mobile emergency scheduling cost and time by transforming the multi-objective problem into a single-objective problem. The “5.12” Wenchuan earthquake is used as an example to validate the model and solving method. The results show that the model can reduce the impact of uncertain risks and improve the scientific logic of emergency strategies and deployments based on the actual crisis scenario. It benefits from introducing mobile emergency vehicles and optimizing their scheduling process.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Facility Location and Emergency Management · Vehicle Routing Optimization Methods · Transportation and Mobility Innovations
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Economics and Management, Xi’an University of Technology, Xi’an 710054, China
International Business School, Shaanxi Normal University, Xi’an 710062, China
Funding
the National Social Science Fund of China
References (30)
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