Special Issue: Complexity Management and Decision Analysis in Engineering and Society
Guest Editors
Prof. Junhai Ma
College of Management and Economics, Tianjin University, Tianjin 300072, China
Email: mjhtju@aliyun.com
Prof. Ruguo Fan
School of Economics and Management, Wuhan University, Wuhan 430072, Hubei, China
Email: rgfan@whu.edu.cn
Prof. Marcelo A. Savi
Universidade Federal do Rio de Janeiro, COPPE - Department of Mechanical Engineering, Center for Nonlinear Mechanics, Rio de Janeiro, 21.941.972, RJ, Brazil
Email: savi@mecanica.coppe.ufrj.br
Prof. Zengqiang Chen
Department of Information institute Nankai University, Tianjin 300072, China
Email: chenzq@nankai.edu.cn
Prof. Lijun Pei
School of Mathematics and Statistics, Zhengzhou University, Zhengzhou 450001, Henan, China
Email: peilijun@zzu.edu.cn
Dr. Wenbo Ren
School of Economics and Management, Lanzhou Jiaotong University
Email: renwenbo001@lzjtu.edu.cn
Manuscript Topics
Management system and social system are typical complex systems, and how to recognize the complexity characteristics of this system and deal with the challenges brought by complexity has been a hot content of research in the field of management. In recent years, with the continuous development of information technology and research on decision-making methods, the complexity of the system and the diversity of methods have been increasing, so it is necessary to conduct targeted research on them. The research on optimization, stability and complex fluctuations of engineering management system models should attract more scholars' attention.
This special issue aims to collect original research on complex engineering and social management systems, and particularly welcomes submissions including big data, blockchain, complex perception, artificial intelligence, and other technology applications in engineering and society.
Therefore, more scholars are expected to conduct research and innovation in these fields.
The Potential topics include but are not limited to the following:
• Study of evolutionary games in complex economic, financial, social, and engineering systems.
• Study of discrete dynamics of delay, information quality, and information security on complex engineering and social systems.
• Discrete dynamic processes and decision impacts on engineering, social caused by emergencies.
• Discrete dynamic models on social output, engineering cost, and complex decision processes.
• Dynamic games of supply chain disruption, supply chain flexibility, and supply chain bullwhip effects.
• Complex data collection and complex sensing technologies, including RFID, sensors, remote sensing technologies, and big data in engineering, social phenomena.
• Stability analysis, time series analysis, bifurcation and chaos analysis, fluctuation control, and robustness studies of the above dynamic systems.
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