A Model for the Assignment of Emergency Rescuers Considering Collaborative Information

Pingping Cao, Jin Zheng (), Mingyang Li and Yu Fu
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Pingping Cao: Department of Basic Teaching and Research, Criminal Investigation Police University of China, Shenyang 110854, China
Jin Zheng: Department of Management Science and Engineering, Business School of Economics Department, Liaoning University, Shenyang 110136, China
Mingyang Li: Department of Management Science and Engineering, Business School of Economics Department, Liaoning University, Shenyang 110136, China
Yu Fu: Department of Management Science and Engineering, Business School of Economics Department, Liaoning University, Shenyang 110136, China

Sustainability, 2023, vol. 15, issue 2, 1-26

Abstract: Emergency rescue is a critical decision for emergency response, and the assignment of rescuers is crucial to the sustainable development of emergency rescue. Therefore, how to effectively assign rescuers to carry out rescue tasks, so as to achieve the best rescue effect, is a research problem with practical value. In this paper, a model for the assignment of emergency rescuers considering collaborative information is proposed. Firstly, the synergy degrees of rescuers are calculated based on the synergy effect between rescuers and the synergy ability of rescuers. Secondly, according to the evaluation values of the skill level of rescuers, the competence degrees of rescuers are calculated and the overall ability of each rescuer is obtained. Then, the satisfaction degrees of rescuers are calculated according to the subjective preferences of rescuers. Furthermore, the task fitness degrees are obtained, and the satisfaction of rescue time is calculated. Afterwards, a model for assignment of emergency rescuers is constructed with the satisfaction of rescue time and the task fitness degrees maximization as the objectives, and the optimal assignment scheme can be obtained through solving the model. Finally, an illustrative example on the rescuer assignment under public health emergencies is given to illustrate the use of the proposed model.

Keywords: assignment of rescuers; emergency rescue; rescue tasks; collaborative information; optimization model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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