Journal of Systems Engineering and Electronics ›› 2023, Vol. 34 ›› Issue (1): 141-148.doi: 10.23919/JSEE.2023.000038

• SYSTEMS ENGINEERING • Previous Articles     Next Articles

A simulation-based emergency force planning method for social security events

Xuesheng YANG1(), Yingli WANG2(), Yong GUAN2,*()   

  1. 1 War Studies Institute, Academy of Military Science, Beijing 100091, China
    2 Strategic Assessments and Consultation Institute, Academy of Military Science, Beijing 100091, China
  • Received:2022-10-25 Online:2023-02-18 Published:2023-03-03
  • Contact: Yong GUAN E-mail:15701122571@139.com;474570979@qq.com;guanyong7719@163.com
  • About author:
    YANG Xuesheng was born in 1977. He received his M.S. degree in military operation research from the Academy of Military Sciences, Beijing, China, in 2002, and Ph.D. degree in military operation research from National Defense University, Beijing, China, in 2008. He is currently a researcher of the Academy of Military Sciences. His research interest is military operation research and experiments. E-mail: 15701122571@139.com

    WANG Yingli was born in 1987. She received her Ph.D. degree from Chinese Academy of Sciences, Beijing, China, and City University of Hong Kong, Kowloon, Hong Kong, in 2018. She is currently a researcher of the Academy of Military Sciences. Her research interests are complex network and military assessments. E-mail: 474570979@qq.com

    GUAN Yong was born in 1977. He received his B.S. degree in computer science and technology from National University of Defense Technology, Changsha, China, in 2000, and M.S. degree in military operation research from the Academy of Military Sciences, Beijing, China, in 2013. He is currently a researcher of the Academy of Military Sciences. His research interest is military operation research and assessments. E-mail: guanyong7719@163.com

Abstract:

The occurrence of social security events is uncertain, and the distribution characteristics are highly complex due to a variety of external factors, posing challenges to their rapid and effective handling. The scientific and reasonable requirement evaluation of the emergency force to deal with social security events is very urgent. Based on data analysis, this paper uses the neural network, operational research, modelling and simulation to predict and analyze social security events, studies the usage rule of emergency force and deployment algorithm, and conducts simulation experiments to evaluate and compare the different force deployment schemes for selection.

Key words: social security, emergency force, simulation, force deployment