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A Model for the Assignment of Emergency Rescuers Considering Collaborative Information

Author

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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)

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.

Suggested Citation

  • Pingping Cao & Jin Zheng & Mingyang Li & Yu Fu, 2023. "A Model for the Assignment of Emergency Rescuers Considering Collaborative Information," Sustainability, MDPI, vol. 15(2), pages 1-26, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:2:p:1203-:d:1029563
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    1. Feng, Bo & Jiang, Zhong-Zhong & Fan, Zhi-Ping & Fu, Na, 2010. "A method for member selection of cross-functional teams using the individual and collaborative performances," European Journal of Operational Research, Elsevier, vol. 203(3), pages 652-661, June.
    2. Wex, Felix & Schryen, Guido & Feuerriegel, Stefan & Neumann, Dirk, 2014. "Emergency response in natural disaster management: Allocation and scheduling of rescue units," European Journal of Operational Research, Elsevier, vol. 235(3), pages 697-708.
    3. Davood Shiri & Vahid Akbari & F. Sibel Salman, 2020. "Online routing and scheduling of search-and-rescue teams," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(3), pages 755-784, September.
    4. Raimo P. Hämäläinen & Mats R. K. Lindstedt & Kari Sinkko, 2000. "Multiattribute Risk Analysis in Nuclear Emergency Management," Risk Analysis, John Wiley & Sons, vol. 20(4), pages 455-468, August.
    5. Galindo, Gina & Batta, Rajan, 2013. "Review of recent developments in OR/MS research in disaster operations management," European Journal of Operational Research, Elsevier, vol. 230(2), pages 201-211.
    6. Sperling, Martina & Schryen, Guido, 2022. "Decision support for disaster relief: Coordinating spontaneous volunteers," European Journal of Operational Research, Elsevier, vol. 299(2), pages 690-705.
    7. Falasca, Mauro & Zobel, Christopher, 2012. "An optimization model for volunteer assignments in humanitarian organizations," Socio-Economic Planning Sciences, Elsevier, vol. 46(4), pages 250-260.
    8. Kai Chen & Xiaoping Lin & Han Wang & Yujie Qiang & Jie Kong & Rui Huang & Haining Wang & Hui Liu, 2022. "Visualizing the Knowledge Base and Research Hotspot of Public Health Emergency Management: A Science Mapping Analysis-Based Study," Sustainability, MDPI, vol. 14(12), pages 1-23, June.
    9. Rauchecker, Gerhard & Schryen, Guido, 2019. "An exact branch-and-price algorithm for scheduling rescue units during disaster response," European Journal of Operational Research, Elsevier, vol. 272(1), pages 352-363.
    10. Sushil Gupta & Martin K. Starr & Reza Zanjirani Farahani & Niki Matinrad, 2016. "Disaster Management from a POM Perspective: Mapping a New Domain," Production and Operations Management, Production and Operations Management Society, vol. 25(10), pages 1611-1637, October.
    11. Bi, Jian-Wu & Li, Hui & Fan, Zhi-Ping, 2021. "Tourism demand forecasting with time series imaging: A deep learning model," Annals of Tourism Research, Elsevier, vol. 90(C).
    12. Weiyi Ju & Jie Wu & Qingchun Kang & Juncheng Jiang & Zhixiang Xing, 2022. "Fire Risk Assessment of Subway Stations Based on Combination Weighting of Game Theory and TOPSIS Method," Sustainability, MDPI, vol. 14(12), pages 1-24, June.
    13. Bi, Jian-Wu & Liu, Yang & Li, Hui, 2020. "Daily tourism volume forecasting for tourist attractions," Annals of Tourism Research, Elsevier, vol. 83(C).
    14. Youwei Yuan & Lanying Du & Xiumei Li & Fan Chen, 2022. "An Evolutionary Game Model of the Supply Decisions between GNPOs and Hospitals during a Public Health Emergency," Sustainability, MDPI, vol. 14(3), pages 1-23, January.
    15. Bartel Walle & Murray Turoff, 2008. "Decision Support for Emergency Situations," International Handbooks on Information Systems, in: Handbook on Decision Support Systems 2, chapter 39, pages 39-63, Springer.
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    1. Pingping Cao & Jin Zheng & Mingyang Li, 2023. "Post-Earthquake Scheduling of Rescuers: A Method Considering Multiple Disaster Areas and Rescuer Collaboration," Sustainability, MDPI, vol. 15(15), pages 1-22, July.

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