Benchmarking framework for command and control mission planning under uncertain environment
- 20 Downloads
As the core of the military information system, the command and control (C2) mission planning suffers from the high complexity, environmental uncertainty. To address this problem, many studies highlight the agility and resilience of C2-organizations and propose many solutions. However, there is no benchmark to compare these models and methods. In order to understand such organization’s dynamic and emergence behaviors, this paper presents a benchmark framework of C2 decision-making under uncertainty environment. This is a basic case on multi-force joint operation. We present an optimization model and a horizon partition algorithm aimed to plan an optimal organizational structure with higher operational flexibility, low cost and high performance. Finally, we explore the main traditional models on the benchmark case. The result shows the proposed model is competitive under uncertain environment.
KeywordsOperational System of Systems (SoS) Command and control Adaptive planning
This study was funded by the National Natural Science Foundation of China under Grant Numbers 71701205 and 71701206.
Compliance with ethical standards
Conflict of interest
Yanghe Feng declares that he has no conflict of interest. Wei Shi declares that he has no conflict of interest. Wei Shi declares that he has no conflict of interest. Guangquan Cheng declares that he has no conflict of interest. Jincai Huang declares that he has no conflict of interest. Zhong Liu declares that he has no conflict of interest.
This article does not contain any studies with human participants performed by any of the authors.
- Abdelsalam HM (2003) Optimization-based architecture for managing complex integrated product development project. Ph.D. dissertation, USA: Old Dominion UniversityGoogle Scholar
- Alberts DS, Hayes RE (2003) Power to the edge: command control in the information age. United States: command and control research program publications, 2003Google Scholar
- Carley KM, Krackhardt D (1999) A typology for C2 measures. In: Proceedings of the 1999 international symposium on command and control research and technology, Newport, RI. Vienna, VAGoogle Scholar
- Carley KM, Prietula MJ (1994) Computational organization theory. Lawrence Erlbaum Associates, HillsdaleGoogle Scholar
- Chen G, Sun P, Zhang J, Wu J (2018) Adaptive adjustment of command and control structure based on discrete firefly algorithm. Comput Eng Appl Issue 15:112–119Google Scholar
- Kemple WG, Kleinman DL, Berigan MC (1996) A2C2 initial experiment: adaptation of the joint scenario and formalization. In: Proceedings of the 1996 command & control research & technology symposium, Monterey, CA, pp 837–846Google Scholar
- Kleinman DL, Levchuk GM, Hutchins SG et al (2003) Scenario design for the empirical testing of organizational congruence. In: International command and control research and technology symposium, Washington, DCGoogle Scholar
- Krackhardt D, Carley KM (1998) A PCANS model of structure in organization. In: Proceedings of the 1998 international symposium on command and control research and technology, pp 113–119Google Scholar
- Levchuk GM, Kleinman DL, Sui R et al (2003) Congruence of human organizations and missions: theory versus data. In: International command and control research and technology symposium, Washington, DCGoogle Scholar
- Liu Z, Yang DS, Wen D, Zhang WM, Mao WJ Cyber-physical-social systems for command and control. IEEE Intell Syst (in press)Google Scholar
- Sun Y, Yao P, Li M, Li F (2016) Adaptive adjusting method of command and control structure of army organization. Syst Eng Electron Technol 38(9):2086–2092Google Scholar
- Sun P, Wu J, Chen G, Zhang J (2018) Adaptive adjustment of command and control structure based on artificial bee colony algorithm. Comput Appl Res 1060:012055Google Scholar
- Xiu BX (2006) Design methodology of C2 organizational structure and its analysis of robustness and adaptively. Ph.D. dissertation, National University of Defense Technology, ChinaGoogle Scholar